No experience modeling jobs in Bayonne, NJCreate job alerts

We’re Tend — Dental Done Differently. Tend was founded to make going to the dentist something people actually look forward to. We blend thoughtfully designed studios, top-tier clinical care, advanced technology, and a hospitality-driven mindset to create a dental experience that’s human, personalized, and exceptional from start to finish. Since launching in 2019, we’ve delivered care to over 100,000 patients across New York, Washington DC, Boston, Atlanta, and Nashville. With thousands of five-star reviews and over 650 passionate team members, Tend is one of the fastest-growing and highest-rated dental brands in the country — and we’re just getting started. Whether you’re delivering care in our studios or supporting our growth behind the scenes, every role at Tend contributes to reimagining the future of dental health — for patients and for the people who care for them. We’re growing fast — and we’re looking for values-driven, mission-aligned talent to grow with us. At Tend, we do dentistry differently — without compromising on excellence or ambition. As a Lead Dentist, you’ll set the bar for clinical quality, mentor a high-performing team, and help shape the patient experience across your studio. You’ll balance delivering best-in-class dentistry with leading and coaching dentists, hygienists, and dental assistants to excel clinically and professionally. Together with the Studio Manager, you’ll create an environment that embraces Tend’s Mission, Vision, and Values — and drives both patient and studio success. We offer a guaranteed base plus a production bonus. Lead Dentists earn 32–40% of their adjusted production, making this one of the most competitive compensation models in the industry. You’ll also receive leadership bonuses, transparency, and support to help you thrive. What You’ll Do Clinical Leadership & Mentorship • Mentor and coach dentists, hygienists, and dental assistants in diagnosis, treatment planning, clinical skills, and patient care, • Conduct regular performance reviews for general dentists; create action plans as needed, • Partner with the Lead Hygienist and Lead Dental Assistant to provide team-wide mentorship and development, • Lead clinical onboarding and quality assurance reviews for new hires, • Deliver comprehensive dentistry services at or above the standard of care, while modeling clinical excellence for your team, • Partner with the Studio Manager to optimize schedules, improve patient access, and achieve production and care outcome goals, • Lead daily pre-shift huddles and studio calibrations focused on workflow, patient care, and efficiency, • Review and analyze clinical outcomes (e.g., REDOs, escalations) and implement solutions to continuously improve care, • Build a collaborative, inclusive, and growth-oriented studio culture with your Studio Manager and clinical leads, • Identify and nurture clinical team members with leadership potential, • Participate in leadership development meetings and cascade key updates to your studio team You embody our Tend values and demonstrate advanced leadership competencies that ensure patient success, team excellence, and studio growth. Tend Values • Tend to Others – Deliver outstanding oral health outcomes and patient experiences. You put the team and patient first, even in fast-paced settings., • Be Brave Enough to Lead – Act with integrity and take initiative to solve problems, coach others, and raise the bar., • Savor the Ride – Celebrate wins, stay resilient in challenging moments, and bring positivity to the workplace., • Embrace Our Differences – Welcome and value diverse backgrounds, ideas, and feedback. Communicate with respect and trust., • Earn and Give Trust – Earn the confidence of patients and teammates through honesty, transparency, and follow-through., • Lead with Clinical Judgement – Make sound clinical decisions grounded in data, evidence, and patient needs., • DDS or DMD degree from an accredited dental school, • Current, active dental license in the state where you practice, • Current CPR/BLS certification, • Active DEA registration, • Minimum 6 years of post-residency experience in private practice, DSO, or similar setting in a leadership role, • Proven experience mentoring, teaching, or leading providers in a multi-chair environment, • Demonstrated success managing complex patient cases and provider escalations, • Comfort with modern technology and digital workflows (Invisalign certification strongly preferred), • Ability to sit and stand for extended periods while performing clinical procedures., • Manual dexterity and fine motor skills to handle dental instruments and perform precise procedures., • Adequate vision (with or without correction) to read charts, interpret radiographs, and operate clinical equipment., • Ability to bend, reach, and maintain ergonomic positioning for patient care., • Occasional lifting or movement of equipment and supplies up to 25 pounds. What We Offer • 🦷 Dentist Equity & Partnership – Opportunity to invest alongside Tend and benefit from our growth, • 🎓 CE & Professional Development – Virtual and in-person CE opportunities and internal clinical forums, • 🌴 Time to Recharge - Enjoy generous Paid Time Off (PTO) and company holidays — because rest is productive., • 🛡 Malpractice Insurance – Full coverage provided at no cost to you, • 🩺 Health Comes First – Medical, dental, and vision insurance — plus our own Dental Wellness Program, • 💰 Plan for the Future – 401(k) with company match, • 💡 Support, When You Need It – Life & AD&D insurance, legal support, EAP, and health advocacy, • 🛍 Smart Spending Options – FSAs, HSAs, and pre-tax transit and parking benefits, • Generous paid time off + company holidays #LI-Onsite Pay Range $194,000—$350,000 USD The Tend Difference The highest standard of care, anywhere. At Tend, you’ll work alongside esteemed clinical leaders and experience-obsessed colleagues to deliver care that’s not only top-tier — it’s unforgettable. With access to advanced technology and thoughtfully designed studios, you’ll help create dental experiences that patients actually look forward to. Our hospitality-driven approach makes every visit feel personal, warm, and empowering. A top-tier clinical team who puts patients first. We value science over sales and lead with empathy, transparency, and integrity. There are no production quotas here — just a shared commitment to doing what’s right for our patients. We foster a collaborative, inclusive culture where team members go the extra mile for each other and for every patient who walks through our doors. Innovate Dentistry. Tend to Others. Grow Together. Tend is redefining what it means to grow a career in dentistry. We offer a modern, patient-first environment backed by cutting-edge tools and systems, industry-leading compensation and benefits, and robust opportunities for continuing education and professional development. Whether you’re clinical or corporate, you’ll be part of something meaningful — and surrounded by people who care. Tend is an Equal Opportunity Employer. We’re committed to fostering a workplace where everyone feels seen, heard, and supported. Tend does not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal and Compliance Notice: Tend complies with all applicable federal, state, and local laws governing nondiscrimination, equal employment opportunity, pay transparency, and other employment-related requirements. Where specific state disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy ___.

Lead Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer San Francisco, CA: $211,000 - $240,800 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Ontology and Data Modeling The role of the Senior Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Senior Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Senior Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Senior Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities * Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts turning insights into actionable strategies that will define the priorities for the team and rally stakeholders to the vision * Own and prioritize the long-term (12-18 months) Ontology and Data Modeling roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned to ensure that and your team will be successful * Define KPIs for Ontology and Data Modeling, measuring and tracking to those measures, with an eye to adjusting and refining the roadmap as the data dictates * Understand how ontology and data models fis into the larger ecosystem, anticipating impacts from changes in other parts of the business * Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumers * Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization and proactively leverage relationships throughout the ecosystem to align to your vision and influence prioritization across partner teams * Attract and retain top talent who can develop, implement and govern ontologies and optimized data models in consultation with stakeholders * Mentor and develop ontology and data modeling associates throughout their tenure at Capital One * Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies * Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning * Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL * Champion standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies * Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges. * Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they’re doing what they’re doing. You always can rally associates to work with you. * Do-er. You’re biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You’re well organized, able to multitask and able to prioritize your work. * Passionate & Customer Focus. You care about growing others and bringing them together around what’s possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs. * Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help. * Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships. Basic Qualifications * Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * At least 6 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) * At least 6 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) * At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) * At least 4 years’ experience or training with SQL or SPARQL Preferred Qualifications * Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * Experience translating business strategy and analysis into enterprise semantic solutions * Familiarity with unstructured data * Familiarity with graph databases and technologies * Familiarity with Python or R * Familiarity with JSON, OpenAPI/YAML, AVRO * Familiarity with Agile principles, processes, and methodologies * Familiarity with Amazon Web Services * Detail-oriented and an ability to problem-solve independently * Strong reading and writing skills * Strong project management experience * Excellent communication skills and the ability to present ideas clearly and with confidence. * Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,000 - $220,300 for Senior Manager, Ontology and Data Modeling McLean, VA: $193,000 - $220,300 for Senior Manager, Ontology and Data Modeling New York, NY: $210,500 - $240,300 for Senior Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Ontology and Data Modeling- Retail Bank The role of the Principal Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Principal Associate of Ontology and Data Modeling, as part of Retail Bank Product, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Principal Associate of Ontology and Data Modeling will be responsible for partnering within the Retail Bank and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Principal Associate of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities * Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development * Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies * Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. * Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services * Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment * Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning * Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL * Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One * Test/troubleshoot new or updated models and systems * Manage and oversee other projects as assigned by Product Owners and Supervisors Role-Based Competencies * Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges * Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they’re doing what they’re doing. You always can rally associates to work with you * Do-er. You’re biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You’re well organized, able to multitask and able to prioritize your work * Passionate & Customer Focus. You care about growing others and bringing them together around what’s possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs * Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help * Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships Basic Qualifications * Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * At least 3 years’ experience in a metadata field of work or a masters’ degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * At least 3 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) * At least 3 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) * At least 3 years’ experience or training with SQL or SPARQL Preferred Qualifications * Master’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data * Familiarity with graph databases and technologies * Familiarity with Python or R * Familiarity with JSON, OpenAPI/YAML, AVRO * Familiarity with Agile principles, processes, and methodologies * Familiarity with Amazon Web Services * Detail-oriented and an ability to problem-solve independently * Strong reading and writing skills * Strong project management experience * Excellent communication skills and the ability to present ideas clearly and with confidence. * Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is hybrid meaning associates spend about half their time (3 days per week) in-person at one of our offices listed on this job posting. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $127,500 - $145,500 for Principal Associate, Ontology and Data Modeling New York, NY: $139,100 - $158,700 for Principal Associate, Ontology and Data Modeling Wilmington, DE: $115,900 - $132,200 for Principal Associate, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer (Enterprise Platform Technlogy) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Ontology and Data Modeling The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of Finance Products and Data Solutions, will be responsible for working collaboratively across Finance and Enterprise partners to develop domain ontologies in support of our ERP replacement initiatives. With this replacement, we are looking for someone to champion the creation and adoption of standardized data. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Product, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities * Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models * Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria * Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes * Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team * Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems * Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing * Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence * Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates * Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder * Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies * Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. * Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning * Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL * Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies * Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives. * Able to communicate and advocate the value of using industry standards, applications, and open source data sets. * Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment. * Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata. * Able to test/troubleshoot new or updated models and systems * Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models. * Able to maintain and update data and models according to industry best practice. * Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models. * Able to assist in the implementation and support of data standardization and ontology governance strategies and processes. * Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems. * Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends. * Has very strong research skills. * Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience. * Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions. * Continually focused on improving the responsiveness and quality of the solutions delivered. * Exhibits high energy, passion, self-motivation, and creativity for problem solving. Basic Qualifications * Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * At least 4 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) * At least 4 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) * At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) * At least 4 years’ experience or training with SQL or SPARQL Preferred Qualifications * Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data * Familiarity with graph databases and technologies * Familiarity with Python or R * Familiarity with JSON, OpenAPI/YAML, AVRO * Familiarity with Agile principles, processes, and methodologies * Familiarity with Amazon Web Services * Detail-oriented and an ability to problem-solve independently * Strong reading and writing skills * Strong project management experience * Excellent communication skills and the ability to present ideas clearly and with confidence. * Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,400 - $180,800 for Manager, Ontology and Data Modeling McLean, VA: $158,400 - $180,800 for Manager, Ontology and Data Modeling New York, NY: $172,800 - $197,200 for Manager, Ontology and Data Modeling Richmond, VA: $144,000 - $164,400 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning Engineer San Francisco, CA: $173,000 - $197,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Data Engineer- Card Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. * Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices * Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities About the team: Capital One’s Card Core Architecture team is responsible for Card modernization’s data strategy which includes data abstraction, data standardization, data products, GraphQL and API services to deliver reads and writes to clients, and analytical data strategy, in order to enable our business to drive business value across the customer lifecycle with real time intelligence, agility and flexibility enabling the art of the possible! In this role, you will work on delivering Proof-of-concepts, actionable architectures and designs with your hands-on deep technical expertise. You will act as a bridge between technical delivery and product management. You will work with other Distinguished Engineers to detail out high level designs to help software engineers with clarity to develop and engineer the products as envisioned. You will provide mentorship and strategic guidance to our engineer, product, and leadership groups. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience in data engineering * At least 3 years of experience in data architecture * At least 2 years of experience building applications in AWS Preferred Qualifications: * Masters’ Degree * 9+ years of experience in data architecture, engineering and delivery * 5+ years of experience developing in Python, Java, Scala or SQL * 3+ years of architecting experience with AWS services such as S3, Glue, Aurora Global, DynamoDB, Kinesis, Lambda * 3+ years of hands-on experience with data lakes including AVRO, Parquet, Iceberg, Delta, Spark, Kafka, Flink technologies * 3+ years of data modeling experience * 2+ years of experience with ontology standards for defining a domain * 1+ year of experience deploying machine learning models * 3+ years of experience implementing big data processing solutions on AWS * 3+ years of experience in building highly resilient distributed data systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $239,900 - $273,800 for Distinguished Data Engineer McLean, VA: $263,900 - $301,200 for Distinguished Data Engineer New York, NY: $287,800 - $328,500 for Distinguished Data Engineer Plano, TX: $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished Data Engineer Wilmington, DE: $239,900 - $273,800 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, Data Science - Model Risk Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Science Leader at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes, and develop increasingly powerful techniques to avoid their repetition. In this role, you will: * Partner with a cross-functional team of data scientists, data analysts, and business analysts to drive great decisions through modeling * Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks * Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners * Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation * Oversee development of benchmark and challenger models to stress test critical modeling decisions The Ideal Candidate is: * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics * At least 4 years of experience leveraging open source programming languages for large scale data analysis * At least 4 years of experience working with machine learning * At least 4 years of experience utilizing relational databases Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics * At least 5 years of experience in Python, Scala, or R for large scale data analysis * At least 5 years of experience with machine learning * At least 1 year of experience working with AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $239,900 - $273,800 for Dir, Data Science McLean, VA: $263,900 - $301,200 for Dir, Data Science New York, NY: $287,800 - $328,500 for Dir, Data Science Richmond, VA: $239,900 - $273,800 for Dir, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Data Scientist - NLP Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Specialized experience in the fields of Information Retrieval, Recommender Systems, and Reinforcement Learning * Specialized experience in GenAI application development * At least 3 years of experience in PyTorch/Tensorflow * At least 3 years of experience with machine learning * At least 1 year of experience working with AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Data Science - AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 4 years’ experience in Python, Scala, or R * At least 4 years’ experience with machine learning * At least 4 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Mgr, Data Science New York, NY: $211,000 - $240,800 for Mgr, Data Science San Jose, CA: $211,000 - $240,800 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 3 years’ experience in Python, Scala, or R * At least 3 years’ experience with machine learning * At least 3 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Data Scientist - NLP Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 2 years’ experience in Python, Scala, or R * At least 2 years’ experience with machine learning * At least 2 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $133,000 - $151,800 for Sr Assoc, Data Science New York, NY: $145,100 - $165,600 for Sr Assoc, Data Science San Jose, CA: $145,100 - $165,600 for Sr Assoc, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, Data Scientist - Apollo/Card Data Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description Apollo (part of Card DMDC) is Capital One’s one stop shop for authoritative, 360 degree information on US businesses. We are on a mission to build a market leading, business critical Business Data Product and Platform that gives our customers a competitive advantage through information. Our customers rely on Apollo’s data and capabilities to market, sell, verify, underwrite, serve, and protect business customers, often in real-time intelligent ways. Business data is a complex, multi-billion dollar problem that is poorly served by legacy providers. We are tackling this critical opportunity by acquiring and processing massive amounts of data, leveraging cutting-edge ML/AI to resolve identity and predict valuable features and architecting interfaces that allow our users to seamlessly integrate Apollo into their workflows Data Science is at the heart of Apollo and this role will have an opportunity to shape the next generation of capabilities. Role Description In this role, you will: * Lead a team of data scientists and collaborate with machine learning engineers, data engineers, business analysts and product managers to deliver product(s) customers love. * Lead machine learning and data science technical direction and execution (operations, governance, processes and practice) working closely with product management to craft a roadmap and success criterion. * Lean on your deep technical background in graph-based machine learning, deep learning, software engineering and algorithm development to organize, grow and manage the ML/AI capabilities for the product. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: * Technical Innovator. You have a strong background in ML/AI and engineering practices with experience in Entity Resolution, Information Retrieval, Graph-based ML, LLM/Embeddings or Deep Learning. You have hands-on experience developing effective data science solutions, while pushing the envelope with state-of-the-art techniques. * Customer-back. Product mindset. You are deeply curious about customer needs and bring a product mindset to drive business results, integrating ML/AI design, engineering and execution. You identify high-leverage efforts and the necessary trade-offs to shape a roadmap that balances transformative innovation with time-to-value and pragmatism. * Empathetic People Leader. You establish a culture of inclusiveness, cooperation and candor. You’re passionate about talent development, provide frequent actionable feedback to team members, and promote innovation * Strategic Thinker and Communicator. You love asking questions and pushing hard for answers. You challenge conventional thinking and work with stakeholders to identify and improve the status quo by bringing clarity to big, undefined problems.You set the team vision, and inspire your team and peers to execute towards it. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date : * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics * A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics * At least 4 years of experience leveraging open source programming languages for large scale data analysis * At least 4 years of experience working with machine learning * At least 4 years of experience utilizing relational databases Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics * At least 1 year of experience working with AWS * At least 3 year of experience managing people * At least 5 years of experience in Python, Scala, or R for large scale data analysis * At least 5 years of experience with machine learning Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $263,900 - $301,200 for Dir, Data Science New York, NY: $287,800 - $328,500 for Dir, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are seeking an experienced hands-on Software Architect to drive end-to-end architecture solutions as part of Brokerage Recordkeeping Technology in Fidelity. In this role, you will work closely with multiple teams across various business and technical domains to understand business requirements, lead Proofs-of-Concept (POCs), and architect solutions and that meet functional and non-functional requirements of today and for the future, while assuring adherence to Enterprise Architecture standards for application, data, platform, and infrastructure components. The ideal candidate will bring a deep understanding of the Financial Services business domain and provide leadership in roadmap evolution, strategizing complex problems, arriving at solutions based on rational reasoning, and help drive the adoption of the architecture solution. You will proactively engage teams to drive, manage the definition and governance of Architecture Strategy and execution. This includes, but is not limited to Business Capability Analysis, Customer Journey Mapping, Architecture Design and Documentation, Technology and Solution Evaluations, Domain Modeling, collaborating with Data Architecture, API Strategy, Cloud Adoption, Security, Automation, FinOps, etc. We are looking for a solid Software Architect with a proven track-record of working with multiple teams to lead and drive Solution Architectures with a platform and framework mindset. • Proven experience in defining and driving Solution Architectures for providing technology solutions for solving complex business problems. You bring in strong skillset in communication, organizational awareness and engagement, stakeholder management and cross-functional collaboration, business analysis, architecture definition, diagramming, documentation, POC execution, effective presentations, influence, and an ability ask the right questions to bring clarity to solving the problem at hand., • Familiarity with FDC3 Standards, • Hands On Experience with OPA – Open Policy Agent and Rego Programming is highly desirable, • Hands On Experience with BPMN Technology like Camunda is highly desired, • Hands On Experience with software automation technologies., • Strong understanding of Domain-Driven Design, and the ability to apply it to new and existing domains., • Proven experience delivering software solution artifacts targeting senior management to development engineers. Such as Capability Mapping, System Design, Detailed Solution Architecture, Deployment Architecture, and Security Architecture., • Proven experience arriving at key decisions based on rational thinking, and in identifying and articulating risks., • Proven experience architecting and engineering applications with an end to end stack, with a focus on Operational Excellence, Security, Reliability, Resiliency, Performance Efficiency, and Cost Optimization., • Proficient in Cloud Architecture, Services, and Patterns. Hands-on experience with Core AWS services is a must-have., • Amazon VPC, DNS, ELB, CloudFront, API Gateway, IAM, EC2, EKS, Lambda, Step Functions, SNS, SQS, Glue/EMR, S3, RDS Oracle/PostgreSQL, DynamoDB, Secrets Manager, CloudFormation/Terraform, Data Lake, Data Fabric, Service Mesh, Event-Driven Architecture, Resiliency, Disaster Recovery, etc., • Proven experience in Kubernetes (EKS preferred)., • Proven experience in Data technologies and paradigms such as Caching, ETL/ELT, SQL, and No-SQL Databases., • Proven experience in DevSecOps and CI/CD automation (Jenkins Core and GitOps preferred)., • Proven experience in Digitization and Business Process Orchestration, • Proficient in Mainframe Migrations to Cloud, • Proficient in Objective Risk vs Reward decisions and deliver Pragmatic iterative solutions by taking calculated risks and documenting and communicating the risks., • Proficient in Cloud/On-Premises Networking Topologies., • Knowledgeable about Mainframe Technology., • Strong understanding of common Architecture Principles, Patterns, and trade-offs., • Strong understanding of the Twelve-Factor App., • Ability to work both independently and with all levels of the organization, including technical and non-technical team members., • Flexible, growth-oriented mindset with a strong sense of ownership., • Designing and Implementing Architectures: Defining the overall structure and components of web applications, including front-end (user interface), back-end (server-side logic), database, and infrastructure., • Technology Selection: Evaluating and recommending appropriate technologies, frameworks, and tools for the project., • Defining Standards and Best Practices: Establishing coding standards, architectural guidelines, and security best practices., • Mentorship and Collaboration: Guiding development teams, conducting code reviews, and collaborating with stakeholders (product managers, designers, etc.)., • Performance Optimization: Ensuring optimal performance and scalability of applications., • Security Implementation: Implementing security measures to protect applications and data., • Stay Updated: Keeping abreast of the latest technologies and trends in full-stack development. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office. Information Technology

Principal Associate, Data Scientist - Transaction Intelligence Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Transaction Intelligence team leverages transaction data to power at-scale, real-time experiences that bring simplicity, clarity and confidence to our customers. We use Python, Spark, Snowflake, Databricks and Kubeflow as our tech stack, and build models and tools that serve our customer base as well as our analytical community at Capital One. Role Description In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, Spark, Databricks, Snowflake, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals * Explore and apply the latest advances in machine learning, such as transformer modeling architectures, to real-world problems facing the financial services industry The Ideal Candidate is: * Innovative. You can apply the latest developments in machine learning to real-world problems facing the financial services industry. * Technical. You’re comfortable with a broad stack of technologies. * Creative. You are a builder and deployer of machine learning models, with experience in all phases of development, from design through training, evaluation, validation, and implementation. * A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * At least 1 year of experience working with AWS * At least 3 years’ experience in Python, Scala, or R * At least 3 years’ experience with machine learning * At least 3 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Business Manager - CDFI Investing External Affairs works with many external and internal stakeholders to envision and create a world of greater socioeconomic opportunity through advocating for an inclusive society, building thriving communities, and creating financial tools that enrich lives. Our teams include Communications, Community Impact and Investment, Community Finance, CRA Strategy and Program Management, the Government and Political Affairs Group, Regulatory Relations, and Strategy and Engagement. Through our teams, we have unparalleled access to a diverse group of motivated changemakers similarly focused on the ingredients for a more perfect future. We focus on innovation and opportunity -- on long term well being for our associates, customers, and communities. We dream in disruption -- at scale -- especially for those who have been underserved. This is the language of changing things for the better, of the future, and…of Capital One. As we continue to build our commitment to our customers and communities, we would like for you to consider being part of this very special team. Community Finance Team Community Finance’s commitment to impact is clear. In 2023, the team originated $2.3 billion in debt and Low Income Housing Tax Credit (LIHTC) equity investments that financed more than 14,000 affordable housing units. Since its inception, Capital One has invested almost $17 billion in affordable housing and provided financing for more than 160,000 affordable housing units. Capital One’s Community Finance originates debt and equity to support affordable housing development. The team provides construction debt financing, as well as, invest in low income housing credits through proprietary and multifund equity fund structures. In addition the team partners with other lines of business to provide capital to Community Development Financial Institutions. The Community Finance is a line of business that seeks to build inclusive, thriving, resident-centered communities that catalyze opportunity & well being; and enables Capital One to further its mission to change banking for good. We partner with other teams within External Affairs and lines of business to create meaningful impact for customers and communities sustainably and at scale. The Role: Community Finance is seeking a strategically oriented and energetic Senior Manager BA with demonstrated experience driving innovation, impact and operational excellence to drive the expansion of Capital One’s Community Development Financial Institution (CDFI) activities. This role will report to the Senior Business Director accountable for delivering key insights that drive program strategy and management, analyzing our existing portfolio of loans, performing sensitivity analysis for various portfolio construct scenarios inclusive of lending facilities, equity/EQ2 investments, and deposits, while ensuring the financial stability and mission-driven goals are met. The role will serve as the front door between Community Finance, Small Business Bank and Commercial and other lines of business to manage coordination of all activities. This associate should have a demonstrated record of delivering solutions, excel at relationship management, and have keen business and communications acumen. Key Responsibilities: As a Senior Business Manager, you will be responsible for helping to build the strategy of our new function with responsibilities including, but not limited to: * Support creation a holistic strategy to build and manage CDFI relationships, originate capital, service and monitor the portfolio and impact * Analyze strategy across sectors, geographies, programmatic commitments in CBP * Conduct investment ramp scenario analysis * Own and refine investment framework for direct to CDFI commitments * Develop KPIs and reporting mechanisms across governance forums and routines * Drive creation of CDFI-specific credit policy * Develop insights once we have seasoned investments to inform pricing strategy, duration considerations * Outline CDFI program best practices - seek to define what the gold standard looks like with an eye toward program sustainability Basic Qualifications: * Bachelor’s Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering) * At least 2 years of experience in quantitative analysis * At least 2 years of experience in qualitative analysis * At least 1 year of experience in people management * At least 1 year of experience in project management Preferred Qualifications: * Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering * 5+ years of experience in quantitative analysis * 5+ years of experience in qualitative analysis * 2+ years of experience in people management * 2+ years of experience in product development * 2+ years of experience in financial modeling * 2+ years of experience in economic forecasting * 2+ years of experience in project management Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,000 - $220,300 for Sr. Business Manager New York, NY: $210,500 - $240,300 for Sr. Business Manager Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Business Manager, Premium Products This is your opportunity to join the fast-growing Premium Products and Experiences team. Our mission is to grow and develop industry leading products that deliver unique, differentiated benefits to our millions of customers while also powering the headline marketable benefits of our credit card products. As a Business Analysis Manager at Capital One, you will apply your strategic and analytical skills to major company challenges. You'll team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. Summary: As a Business Analysis Manager at Capital One, you will apply your strategic and analytical skills to major company challenges. You'll team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. General Responsibilities: * Strategic leadership: Develop business strategies that will drive growth, profitability, and competitive success for Capital One in the face of shifting consumer and regulatory demands * Product: Develop and implement new product and pricing strategies for various lending products; lead product level modeling/analytics * Marketing: Lead direct-to-consumer marketing efforts for select products, and strategic intent for products distributed through the retail channel. Build targeted insights to inform the design and development of new customer experiences, as well as breakthrough technology and concepts designed to deliver on new go-to-market strategies * Credit Risk: Drive step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis * Execution: Manage and sequence delivery of business intent, build business requirements and execute against the product strategy. Oversee multiple projects and programs concurrently * Partnership: Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance and others to drive improvement in quality, volume, service, and profitability * Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management * Strong business judgment, leadership and integrity: He/she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business * Solid people leadership experience: Ability to build and leverage the capabilities of a high-performing team, as well as business partners across the enterprise. He/she should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results * Strong executive communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills * Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment * Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus Basic Qualifications: * Bachelor’s Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering) * At least 2 years of experience in analysis Preferred Qualifications: * Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering * 5+ years of experience in analysis * 2+ years of experience in financial services * 1+ year of experience in consulting * 2+ years of experience in people management * 2+ years of experience in SQL querying Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,400 - $180,800 for Business Manager New York, NY: $172,800 - $197,200 for Business Manager Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Business Manager - Digital Product Strategy As a Senior Business Manager at Capital One, you will apply your strategic and analytical skills to major company challenges. You will lead and team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you'll do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. This role is within Capital One’s Enterprise Consumer Product (ECP) Strategy team. ECP is responsible for Capital One’s digital customer experiences, including its award winning mobile app, its online presence as well as its marketing and messaging technology ecosystem. The Strategy team defines and shapes ECP’s strategic agenda by unlocking key opportunities and tackling some of our most challenging problems relating to the digital customer experience. This role will lead problem solving processes in partnership with product, tech and business leaders across ECP and Capital One An ideal candidate would have a background in, and a passion for, developing visionary strategies, tackling challenging problems, and leading high performing analyst teams that partner horizontally across the organization. General Responsibilities: * Strategic leadership: Develop business strategies that will drive growth, profitability, and competitive success for Capital One in the face of shifting consumer and regulatory behavior * Business ownership: Have an ownership mindset including strategic planning with a 1-6 month horizon * Leadership: Manage and develop a team of analysts. Coaching and mentoring associates throughout the organization with a goal of developing and retaining talent at Capital One * Product: Partner with Product Managers, Design and Engineering to build the best products for both Capital One and its partners * Credit Risk: Drive step-change improvements in credit performance by connecting drivers of future consumer credit and Fraud trends to historical behavior and testing hypotheses using rigorous monitoring and analysis * Execution: Coordinate across the line of business to manage and sequence delivery of business intent, build business requirements and execute against the product strategy. Oversee multiple projects and programs concurrently * Partnership: Work closely with colleagues across Capital One including: Tech, Product, Design and others to drive improvement in quality, volume, service, and profitability * Strong business judgment, leadership and integrity: He/she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business * Solid people leadership experience: Ability to build and leverage the capabilities of a high-performing team, as well as business partners across the enterprise. He/she should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results * Strong executive communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills * Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment Basic Qualifications: • Bachelor’s Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering), • At least 2 years of experience in quantitative analysis, • At least 2 years of experience in qualitative analysis, • At least 1 year of experience in people management, • At least 1 year of experience in project management Preferred Qualifications: • Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering, • 5+ years of experience in quantitative analysis, • 5+ years of experience in qualitative analysis, • 2+ years of experience in people management, • 2+ years of experience in product development, • 2+ years of experience in financial modeling, • 2+ years of experience in economic forecasting, • 2+ years of experience in project management Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,000 - $220,300 for Sr. Business Manager New York, NY: $210,500 - $240,300 for Sr. Business Manager Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Us Perform Properties is a best-in-class, diversified real estate operating platform with expertise in high-quality, grocery anchored shopping centers and premier office assets. Perform is positioned to create more engaging experiences for customers, deliver long-term value for tenants, and drive stronger performance across its portfolio. Perform has expertise in asset management, transactions, development, leasing, and operations, and benefits from a multi-sector focus, data driven strategy, and national reach. The company focuses on properties with People-Appeal—dynamic spaces where people and businesses actively choose to work, shop, and gather, enhancing the communities around them. Formed through the combination of ShopCore, ROIC, and EQ Office, Perform Properties leverages the shared experience, scale, and operational strengths of three leading organizations. Role Summary The Associate on the Asset Management team will provide analytical support to regional and sub-regional teams charged with maximizing property values through operations (leasing, capital, development & redevelopment) and capital markets (financings, dispositions, etc.) in close collaboration with the Blackstone Asset Management team. These teams vary in location to cover the United States coast-to-coast, hitting major markets like New York, Atlanta, Miami, Los Angeles, San Francisco, Seattle, Chicago, etc. all the while exploring new gateway markets. We’re seeking an Associate to join our Asset Management team in a role that goes beyond traditional asset oversight. This position will be more broadly focused on investments, with significant involvement in transactions, analytics, and underwriting. The ideal candidate will have experience in acquisitions or asset management and be proficient in complex Argus and Excel modeling. This is a dynamic opportunity for someone who thrives in a fast-paced, deal-oriented environment and is eager to work closely across functions to drive asset and portfolio value. Major responsibilities include constructing and validating all cash flow assumptions utilized in projections; creating business plans with Region Leads and Leasing Teams that align with property visions and financial objectives; material lease analyses; modeling, due diligence and closing of dispositions; and evaluating investment returns, asset sales timing, and valuations. Position requires ability to act as a project leader, and research and challenge assumptions. The Associate, in collaboration with the senior members of the Asset Management team, will be given direct financial responsibility for multiple office and retail assets, acting as a strategic investment advisor within their Portfolio team. Although allocated regionally, the role functions as an integral part of one team with national coverage. This role is based in the office, 5 days a week Monday-Friday. Essential Job Functions • Financial Goals – Act as strategic and analytical thought partner and leader to Perform Region Leads on all financial matters related to the health and success of the company and assets in the market. Ask critical questions and challenge assumptions., • Business Planning – Create and maintain business plans with Region Leads that are aligned with the property vision, org values, business objectives, and operating plans to grow asset value., • Strategic Financial Analysis – Drive efforts to coordinate strategic analyses as directed by Perform and Blackstone leadership, including hold/sell analysis, repositioning analysis, major lease analysis, and contribution/funding requests., • Investment Analyses – Evaluate total investment return, leverage strategies, cash flow forecasting, asset sales timing and values, and distribution forecasting. Collaborate with Region Leads on developing assumptions, communicating market developments, and assisting in broker engagements., • Dispositions and Debt Transactions – Support team in underwriting, due diligence, and closing phases for disposition and debt transactions. Coordinate the flow of information & materials with buyers, lenders, attorneys, brokers; review Broker Opinions of Value, due diligence materials, Offering Memorandums; and prepare closing statements and memos. Review Argus files and associated financial assumptions and cash flow., • Liquidity / Cash Management – Manage liquidity needs, develop and monitor leading indicators of cash management concerns, and provide timely reporting to Perform and Blackstone leadership., • Organization and Communication – Drive the organization and communication of key work products and information to effectively report to Region Lead and Blackstone on asset or market conditions. Proactively manage processes and suggest improvements or areas where communication can be streamlined. The Associate will work in close collaboration with senior team members on the Asset Management team daily, in addition to collaborating with other departments throughout Perform and Blackstone. Qualifications and Technical Competencies • 1-3 Years of Argus Enterprise experience; no Argus experience may be considered with demonstrated technology acumen and desire to quickly learn a new product, • Exceptional Excel and financial modeling skills with a working knowledge of IRR, NPV, and other fundamental real estate metrics, • Ability to read and interpret lease agreements, loan documents, and other legal documentation, • Ability to work independently, handle multiple concurrent projects, and meet deadlines as well as ability to thrive in a collaborative team environment and work effectively with team members often spread across multiple geographies and time zones, • Keen attention to detail; ability to run zero-defect analyses as well as review the analyses of junior team members Preferred Qualifications: • Bachelor’s degree in real estate, engineering, economics, finance, business or other quantitative fields, • Minimum of 4 years of experience within an investment bank or real estate investment firm, • Proficient in Microsoft Word and PowerPoint, • Experience overseeing and mentoring other professionals, • Willing to travel up to 15% - note upfront travel will be more

Job Description Kitchen Step & Burger Fi Restaurants Role and Responsibilities Position Summary: • An MCA Assistant Manager is responsible for assisting the Manager in all day-to-day restaurant operations. This may include BOH and FOH hiring, supervisor/employee development and training, performance documentation, adequate staffing, adherence to all MCA policies and procedures, food quality and presentation, sanitation, safety and responsibility for tracking revenues and cash accounts. Responsible for ensuring the highest level of customer service throughout the operation. Being a role model/leader with the ability to solve problems, make informed decisions and manage the workforce and time wisely to achieve maximum results., • Specialty areas of focus may be designated to an MCA Assistant Manager such as Bar, Market, Commissary, or another unique area of focus as dictated by the Brand, General Manager or Director of Operations. Focus areas include duties such as daily/weekly inventory counts, ordering, and scheduling responsibility. Responsibilities: • Adhere to all MCA/Brand operating procedures and ensure that they are adhered to by all shift supervisors and employees., • Attend and contribute to management meetings as required., • Schedule and Lead Pre-shift/Post-shift meetings on a regular basis and post communications to staff., • Ensure that all supervisor/employee duties and assignments are performed and completed in a timely manner., • Record deliveries; receive and reconcile inventories with purchase orders., • Work to ensure all food/beverages/bakery are in stock, the correct items are displayed on all counters and inside display coolers; and all perishable items are stored at the correct temperatures prior to serving., • Complete daily reporting to accurately reflect any MCA/Brand procedures & documentation., • Suggest and implement strategies that can lead to increased revenue., • Ensure all cash payments are received, recorded and a receipt is provided to the customer., • Ensure that an end of night report is completed to ensure correct recording of all transactions., • Ensure that all cash items are balanced and accounted for daily., • Ensure cash handling of register, deposits and safe., • Ensure the restaurant, market, and bar are always kept to a high level of cleanliness., • Ensure that all waste, transfers to other locations, promotional stock, breakages, and spillages are documented., • Monitor and ensure orientation, training, development and performance management of supervisors and crew., • Assist staff when required at busy periods., • Complete a weekly staff schedule; ensure fair distribution of hours to all staff; use most cost-effective staffing schedules; adhere to staffing budget., • Assess employee/supervisor strengths and career development., • Ensure that all staff are punctual and attired correctly., • Meet with problem performers regularly and discuss/document areas of improvement., • Record any accidents/injuries/illnesses that occur, no matter how minor, by using the appropriate accident reporting procedures., • Ensure that menu briefings and quizzes are carried out regularly with all staff., • Work closely, and communicate with the GM to always ensure a smooth operation., • Ensure all work is carried out in compliance with Health & Safety regulations., • Communicate staff performance issues, training, and development needs to GM on a regular basis., • Maintain a high level of service for all guests., • Deal with complaints in an efficient and courteous manner, • Communicate any service/guest issues to the GM., • Perform any other duties as directed by the GM., • Maintains total accountability including labor cost, budgets, and projections., • Maintains food and beverage costs per budgetary standards., • FOH/BOH repair, light bulb replacement, general organization, and cleanliness, • Perform safety inspections and document results and shortfalls., • Associate degree or equivalent in Hospitality, Business or Culinary Arts, • Minimum 1-year supervisory experience, preferably full-service restaurants, • Knowledge of marketing techniques and impact on business results, • Experience in guest relations, negotiations, and complaint handling, • Excellent verbal and written communication skills, • Commitment to service of customers, staff, co-workers, and management, • Demonstrated leadership ability; ability to lead by example., • High integrity and honesty, • High Work Ethic, passion, and commitment, • Ability to work full time hours to manage the operation, including weekdays, weekends, and holidays., • Demonstrated coaching and development skills., • Ability to train and delegate., • Follow through and dependability., • Adherence and modeling of all MCA policies and procedures, • Knowledge and commitment to safety and food sanitation, • Health Department approved Food Handler Manager Certification, • Ensure that all waste, transfers to other locations, promotional stock, breakages, and spillages are documented., • Monitor and ensure orientation, training, development and performance management of supervisors and crew., • Assist staff when required at busy periods., • Complete a weekly staff schedule; ensure fair distribution of hours to all staff; use most cost-effective staffing schedules; adhere to staffing budget., • Assess employee/supervisor strengths and career development., • Ensure that all staff are punctual and attired correctly., • Meet with problem performers regularly and discuss/document areas of improvement., • Record any accidents/injuries/illnesses that occur, no matter how minor, by using the appropriate accident reporting procedures., • Ensure that menu briefings and quizzes are carried out regularly with all staff., • Work closely, and communicate with the GM to always ensure a smooth operation., • Ensure all work is carried out in compliance with Health & Safety regulations., • Communicate staff performance issues, training, and development needs to GM on a regular basis., • Maintain a high level of service for all guests., • Deal with complaints in an efficient and courteous manner, • Communicate any service/guest issues to the GM., • Perform any other duties as directed by the GM., • Maintains total accountability including labor cost, budgets, and projections., • Maintains food and beverage costs per budgetary standards., • FOH/BOH repair, light bulb replacement, general organization, and cleanliness, • Perform safety inspections and document results and shortfalls., • Responsible for ensuring all storerooms and loading areas are clean and always organized. Qualifications • Associate degree or equivalent in Hospitality, Business or Culinary Arts, • Minimum 1-year supervisory experience, preferably full-service restaurants, • Knowledge of marketing techniques and impact on business results, • Experience in guest relations, negotiations, and complaint handling, • Excellent verbal and written communication skills, • Commitment to service of customers, staff, co-workers, and management, • Demonstrated leadership ability; ability to lead by example., • High integrity and honesty, • High Work Ethic, passion, and commitment, • Ability to work full time hours to manage the operation, including weekdays, weekends, and holidays., • Demonstrated coaching and development skills., • Ability to train and delegate., • Follow through and dependability., • Adherence and modeling of all MCA policies and procedures Powered by JazzHR rp5brLiRCG

Job Description After School Program – Tutor Start Date September 2025 We hire for this position in Brooklyn, Queens, The Bronx and Manhattan. Openings vary across 30+ sites throughout the school year. Our complete list is at nyjtl.org/aces-sites About New York Junior Tennis & Learning: For over fifty years, New York Junior Tennis & Learning (NYJTL) has honored its founder Arthur Ashe’s legacy by celebrating the diversity of children, encouraging them to reach their highest potential through free tennis and academic programs. NYJTL is the largest provider of youth tennis and education programs in the nation, providing services in 100 unique sites across all five boroughs while reaching nearly 90,000 kids. In addition, NYJTL designed, funded (with NYC), built and operates the Cary Leeds Center for Tennis & Learning in the South Bronx. All NYJTL community tennis and after school programs are offered at no cost to its participants. The mission of NYJTL is to develop the character of young people through tennis and education for a lifetime of success on and off the court. It believes life skills gained through tennis, academics, healthy living, and character development are a catalyst for long-term achievement. Position Summary: The NYJTL is seeking experienced tutors for our ACES After School Program. Candidate must have a strong interest in working with youth in after-school settings. We are seeking dynamic and engaging presenters, who possess the ability to motivate others, as part-time English and Math tutors. This tutor will be able to connect one on one with elementary and middle school aged students. The ideal candidate must be able to display the ability to customize learning plans for each student. Responsible for the planning and implementation of a discipline or content-specific program activity such as Math with English experience. The ideal candidate will introduce new skills and reinforce learning. Under the direction of the Program Manager, or Director, the Tutor will implement educational enrichment activities for various groups in the program. Core Responsibilities: • Provides individual and group tutoring in areas such as reading, writing, mathematics, and study skills to students., • Ensures the safety and engagement of children in assigned activities., • Develops weekly activity lesson plans in the discipline or content-themed area for which he/she was hired., • Facilitates purposeful and engaging activities that foster the development of new skills, while reinforcing skills/information taught previously., • Assists in all activities needed for the orderly operation of the program: supervising children during classroom activities, and hosting special events, etc., • Works with program staff in engaging them in the lesson plan development process and modeling activity facilitation to help develop student mentorship in a professional setting., • Provides strong classroom management skills, and ensure all participants follow agency and program rules., • Maintain regular communications with Director., • Attending regular staff meetings, professional development trainings and workshops outside of program hours., • Serves as a positive role model, upholds professional behavior and works closely with all staff members in a team-based respectful setting., • Must have a bachelor’s degree in education, child development or a related field and a minimum of two years’ experience working with elementary or middle school aged youth; interested candidates must have skills in Math and English. Teaching or tutoring experience required., • Experience with Test Prep and Standardized Testing., • Exceptional group management, problem-solving and conflict resolution skills., • Excellent verbal and written communication skills., • Interest and experience in youth development. Ability to create interactive academic and/or enrichment activities in the relevant discipline area that are age appropriate., • A genuine enthusiasm for developing professional skills through training opportunities and field practice., • Ability to work as part of a team within a school community, • Ability to communicate effectively and respectfully with a broad range of people including school staff and parents., • Experience with I-Ready., • ESL and Literacy as a focus., • Multilingual or bilingual a plus. PS 9: 80 Underhill Avenue, Brooklyn, NY 11238 PS 12: 430 Howard Avenue, Brooklyn, NY 11233 PS 36: 1070 Castle Hill Avenue, Bronx, NY 10472 PS 71: 3040 Roberts Avenue, Bronx, NY 10461 PS 93: 31 New York Avenue, Brooklyn, NY 11216 PS 100: 800 Taylor Avenue, Bronx, NY 10473 PS 127: 98-01 25th Avenue, Queens, NY 11369 PS 148: 89-02 32nd Avenue, Queens, NY 11369 PS 191: 1600 Park Place, Brooklyn, NY 11233 PS 270: 241 Emerson Place, Brooklyn, NY 11205 PS 289: 900 St. Marks Avenue, Brooklyn, NY 11213 Job Type: Part-time position running from September - May 9 hours per week Salary: $40/HR Please click "Apply" below or visit our careers page at nyjtl.org to complete an application. Thank you! NYJTL values the diversity of the people we hire and inspire. Diversity at our organization means fostering a workplace in which individual differences are recognized, appreciated, respected, and responded to in ways that fully develop and utilize each person’s talents and strengths without regard to race, color, religion, gender, pregnancy, sexual orientation/affectional preference, age, national origin, marital status, citizenship, disability, veteran status, or any other characteristic protected by law. We center equity in all our work and in our hiring practices.

Job Description Position is Remote (US or Canada) No agencies please Maximus () is a mission-driven consumer performance medicine telehealth company that provides men and women with content, community, and clinical support to optimize their health, wellness, and hormones. Maximus has achieved profitability, 8-figure ARR, and is doubling year over year - with a strong cash position. We have raised $15M from top Silicon Valley VCs such as Founders Fund and 8VC as well as leading angel investors/operators from companies like Bulletproof, Tinder, Coinbase, Daily Stoic, & Shopify. The Role The Director of Paid Media will own the strategy, execution, and optimization of all paid media channels to accelerate Maximus’ growth and market leadership in performance medicine. Reporting directly to the Chief Revenue Officer, this role will design and lead a high-impact acquisition engine, leveraging data-driven insights, creative excellence, and cutting-edge platforms to maximize ROI. The ideal candidate thrives in a fast-moving, high-performance environment and brings both strategic vision and operational rigor to scale customer acquisition. Key Responsibilities * Develop and lead a comprehensive paid media strategy across search, social, display, video, and emerging channels to drive measurable growth. * Manage the paid media budget with precision, optimizing spend allocation for maximum efficiency and impact. * Oversee campaign execution end-to-end, from audience targeting and high-velocity creative testing to bid strategies and performance reporting. * Implement advanced measurement frameworks, including attribution modeling and incrementality testing, to guide investment decisions. * Collaborate with brand, creative, and analytics teams to align messaging, assets, and KPIs across all campaigns. * Foster relationships with key platform partners (e.g., Google, Meta, TikTok) to access beta programs, insights, and first-to-market opportunities. * Drive continuous experimentation to unlock new channels, audiences, and formats that scale profitably. * Ensure all campaigns meet or exceed acquisition, retention, and LTV goals. * Recruit, mentor, and develop a high-performing paid media team, fostering a culture of learning and innovation. * Maintain an active pulse on industry trends, competitor strategies, and platform changes to inform strategy. Qualifications & SkillsRequired * 10+ years of experience in performance marketing, with a focus on managing large-scale paid media budgets. * Proven track record of delivering significant ROI through multi-channel campaigns in high-growth consumer businesses. * Expertise in advanced targeting, optimization techniques, and measurement tools. * Strong analytical skills, with proficiency in interpreting data and translating insights into action. * Experience managing agencies, vendors, and internal teams. * Deep knowledge of paid social, paid search, programmatic, and emerging ad platforms. * Exceptional leadership, communication, and cross-functional collaboration skills. Preferred * Experience in health, wellness, or performance-focused industries. * Hands-on expertise with marketing automation, CDPs, and personalization tools. * Familiarity with subscription or membership-based business models. * Early adoption of AI-driven media buying and creative optimization technologies. World-Class Benefits: * Premium Blue Shield Platinum PPO & HMO Plans (up to 80% coverage) * Full Suite: Medical, Dental, Vision, Life Insurance * Best-in-class 401K options * Flexible vacation/time-off policies * Liquidity of options whenever available * Extended options exercise window for loyal employees (3 months for every year of service; e.g. 1 year for 4+ year employees) Maximus is an equal opportunity employer, which not only includes standard protected categories, but the additional freedom from discrimination against your free speech and beliefs, as long as they are aligned with company values. We celebrate intellectual diversity. Ready to Make an Impact? If you're a visionary marketer eager to shape the future of performance health, we encourage you to apply! Please submit your resume, a cover letter, and a 16-second video clip demonstrating a piece of content that could be used for Maximus. Join us at Maximus and help us redefine human potential. Compensation Range: $165K - $225K

Job DescriptionDescription: Sign On Bonus $7,500 High School Math SpEd Teacher 2024-2025 Classification Exempt, 10-Month Employee Reports to High School Principal Overview Dr. Richard Izquierdo Health & Science Charter School is seeking certified, or on the pathway to, and experienced Math teachers to provide instruction to our high school students. Under the general supervision of the Principal, Math teachers work collaboratively with other teachers within their department and across other content areas. Responsibilities Content Knowledge and Planning • Exhibit an understanding of and skills relevant to the subject area(s) taught, • Demonstrate an ability to make topics and activities meaningful and relevant to each student, • Integrate available technology resources compatible with students’ needs and abilities, • Develop unit and lesson plans that are clear, logical, and sequential aligned to standards and regents exams, when appropriate, • Link present content/skills with past and future learning experiences, • Effectively use various instructional strategies (e.g., modeling, cooperative learning, collaboration, and reading and writing in the content areas) to differentiate learning for all students, • Effectively use questioning strategies to engage students and promote learning, • Monitor students’ understanding of the lesson and adjusts teaching when appropriate, • Maximize student learning by providing opportunities for all learners to participate actively and successfully, • Explain content and demonstrates skills in a variety of ways to meet the needs of all students, • Use results of a variety of assessments to monitor and modify instruction as needed, • Effectively use both teacher-made and standardized tests, as appropriate, to measure student performance, • Use oral, non-verbal, and written forms of student assessment, • Organize, maintain, and use records of student progress to make effective instructional decisions, • Continuously monitor students’ progress before, during, and after instruction, and provides meaningful feedback, • Use precise language and acceptable oral expression and written communication, • Articulate clear learning goals and instructional procedures for the lesson to the students, • Model caring, fairness, courtesy, respect and active listening, • Model concern for students’ emotional and physical well being, • Seek and maintains positive interactions with students in all school settings, • Enforce the school’s student behavior policies while investing students in the classroom community, • Communicate clear expectations about behavior to students and parents, • Actively monitor student behavior and provides feedback in a constructive manner to students and parents, • Create a physical setting and establishes routines that promote learning and minimize disruption, • Structure transitions in an efficient and constructive manner, • Work cooperatively with a co-teacher and all colleagues for the benefit of students, • Maintain a professional appearance following the school’s dress code policy, • Interact with colleagues and students in an ethical and professional manner, • Carry out duties in accordance with established policies, practices, and regulations., • Select appropriate channels for resolving concerns and problems, and maintain confidentiality, • Complete all classroom and school assignments and responsibilities in a timely and effective manner, • Participate in professional growth activities including conferences, workshops, course work and committees or membership in professional organizations, • Explore and apply knowledge and information about new or improved methods of instruction and related issues, • Identify areas of personal strength and weakness and seek improvement of skills and professional performance, • Initiate communication with parents or guardians concerning student progress or problems in a timely manner, • Respond promptly to parental concerns and encourage parental involvement within the school, • Interact with parents and the community by providing useful information regarding the school, • Work cooperatively with community members in carrying our school and community sponsored functions, • Build collaborative relationships with colleagues, sharing teaching insights and coordinating student learning, • Plan, organize, develop and conduct a comprehensive teaching and instruction program, • Provide appropriate and effective learning experiences for pupils from a wide range achievement levels, • demonstrate good judgment and good problem-solving skills, • Respond appropriately to evaluation and changes in the work setting, • Bachelor’s Degree required, Master’s Degree in Education or Math preferred, • NYS certification in Math preferred, • At least 2 years prior teaching experience in high school preferred, • Demonstrated success working in non-traditional and/or urban school settings, • Excellent oral and written communication skills None Position Type and Expected Hours of Work This is a full-time 10-month position. The regular hours and workdays are Monday through Friday, 8:00 am to 4:00 pm in addition to any special events to which all staff are expected to attend. Salary Range $70,000 - $110,000 annually (Based on Experience) Travel Minimum to no travel required EEO Statement Dr. Richard Izquierdo Health and Science Charter School provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training. Requirements:

Job Description Harlem Children’s Zone (HCZ) — a world-renowned education and poverty-fighting organization based in New York — seeks an enthusiastic, dedicated, and mission aligned Sports & Recreation Specialist to support our K-12 programming. The Sports & Recreation Specialist will bring a passion for the mission of Harlem Children’s Zone: break the cycle of intergenerational poverty with comprehensive, on-the-ground programming that builds up opportunities for children and families to thrive in school, work, and life. The Sports & Recreation Specialist will join our team that is designed to instill a culture of healthy living throughout the Zone but is more expansive and strategically focused on the way we reach youth in our programs, their parents and caregivers, and the community at large. The ideal candidate will be a dynamic, energetic part-time sports and recreation specialist that will facilitate daily physical activity for students and be dedicated to implementing Healthy Harlem programming at respective sites and report to the health coordinator. For more information, check out Want to Work at Harlem Children’s Zone? Here’s 7 Things You Need to Know. Requirements Minimum Qualifications • Bachelor's degree in nutrition, health education, or related field, • Experience implementing physical activities in school-based, after-school, camp, and/or community-based settings., • Team-oriented with strong organizational and collaborative skills, • Animated, energetic spirit and a positive, resilient attitude, • Adapts well to changes in assignment and priorities with the ability to respond effectively to new information, changing conditions, and unexpected obstacles, • Organize and lead daily physical activity for students, • Promote physical literacy; the motivation, confidence, physical competence, knowledge, and understanding to value and take responsibility for engagement in physical activities for life, • Incorporate sports, games, and a variety of other unique and exciting activities in a positive, fun environment, • Adapt activities to creatively engage children with various skill sets and interests, • Implement physical activities in a variety of settings, including small classrooms, cafeteria, and gymnasium, • Provide clear classroom instructions, including learning objectives and transitions, • Provide consistent motivation, enthusiasm, and role modeling for healthy lifestyle choices, • Gather height and weight measurements and facilitate PACER fitness test Schedule • Fall & Spring: Monday- Friday, anytime between 2:00 PM and 8:00 PM. After school programming: minimum 20 hours per week, with a minimum of 4 hours per day. Schedules are determined based on the program. Benefits As a member of the Harlem Children's Zone team, you will join a supportive and inclusive community dedicated to helping children, families — and our staff — thrive. Please take a look at our Part-Time benefits below. Our exceptional Part-Time benefits include: • Career advancement, • Paid sick leave, • Employee referral bonus, • Physical wellness discounts, • Commuter benefits, • Additional Benefits (Discounts on flights, hotels, theme parks, concert tickets, and more.) The hourly rate for this position is $25-$30 per hour. To be considered, interested applicants should apply directly through the posting. No telephone inquiries or recruiters, please. Replies will only be sent to qualified applicants. Harlem Children's Zone and Promise Academy Charter Schools do not provide work visas for candidates who require employer sponsorship to ensure work authorization in the United States. Harlem Children’s Zone is an EOE.

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! Job Description Your Career The 5G AI Solution Architect will be responsible for technically supporting our 5G strategy for AI and helping us demonstrate our strength as a strong player in this market. This role should be filled by someone who deeply understands 5G (both MNO-5G and private-5G) and AI and is able to work closely with Engineering, PMs, customers, partners and sales. Your Impact • Define 5G architectural and AI governance best practices, • Solution Architecture & Deployment - Translate 5G pain points into scalable AI architectures and product blueprints, • Support 5G AI POCs and pilot designs—across on-premises, cloud-native platforms, edge, and telco data lakes, • Cross-functional Leadership - collaborate with PM, Engineering, Sales, and Partner Ecosystem teams, • Influence product direction based on telco, partner and enterprise insights, • Define and evangelize compelling AI demos and talk tracks tailored to 5G use cases (e.g., predictive maintenance, closed-loop automation, GenAI-driven customer ops, fraud detection, 5G slicing optimization, etc.), • Align internal product and GTM teams with industry trends and evolving telco priorities, • Customer/Partner Engagement - Serve as trusted advisor to AI specialists and stakeholders in 5G use cases, • Lead hands on workshops, around 5G AI use cases, • Industry Participation - Support the company at 5G AI events, • Create thought leadership 5G AI content: white papers, webinars, blogs, • Able to work with AI applications and perform demonstrations of our AIRS capabilitiesQualifications Your Experience • Strong understanding of AI/ML applications in 5G domains: RAN (Open-RAN), edge, core, OSS/BSS and OT Networks, • Experience working on AI-related applications and technologies in Industry 4.0 mission-critical OT verticals, • Understand the key parts of an AI solution ( AI application, Model, Datasets, etc.), • Familiarity with AI/ML technologies: Python, TensorFlow, anomaly detection, time-series modeling, Fine Tuning, RAG, etc., • Understand the broad AI landscape and players, • Experience with partner ecosystems (e.g., AWS, Google Cloud, NVIDIA, telecom vendors), • Deep understanding of mobile networks and technologies, • Familiar with the current security landscape, • Familiar with various AI related attack vectors (model poisoning, prompt injection, supply chain risks etc.), • Self Starter - Able and willing to constantly learn and share new AI security related topics Additional Information Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $186000/YR - $255000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Job Description Join the Origis Energy Team! Origis Energy is accelerating the transition to a carbon-free future by Reimagining ZeroSM. As one of America's leading renewable energy and decarbonization solution platforms, the company continues to expand and reimagine its contribution to the world's net-zero goals. Origis Energy puts customers first to deploy a wide range of sustainable solutions for grid power generation and performance, clean hydrogen and long-term operation of solar, energy storage and clean hydrogen plants across the U.S. Founded in 2008, Origis Energy is headquartered in Miami, FL. The Origis team, regarded as one of the leading developers in the U.S., is committed to living five core values in all interactions both with each other and external stakeholders: Solve for Tomorrow. A role with Origis Energy puts you at the forefront of the transition to clean energy. Are you ready to bring new ideas? Do you exist to find solutions? That's how we revolutionize energy and build a carbon-free future - through unmatched service and relentless innovation. Rise Together. To succeed here, you'll collaborate with others and work as one team, across various teams including solar and energy storage development, financing, engineering, procurement and construction (EPC) and operations, maintenance and asset management. Are you open to diverse perspectives and prepared to work seamlessly across disciplines to reach our collective goals? Perform at Peak. We're seeking team members who bring authentic energy and passion to every task. How can you use your natural strengths, genuine optimism and intelligence to make your greatest contributions to Origis? Inspire & Grow. The Origis team is comprised of knowledgeable, passionate solar and energy storage experts who bring deep expertise and solution-driven thinking to clients. A successful Origis team member encourages others and sets a high bar for growth. We have a culture of continuous improvement because each team member takes the role of both learner and mentor. Be Resilient. The spirit in which we tackle the energy challenges and objectives of our clients means we consistently stretch for the extra mile. We all take initiative and remain adaptable, overcoming obstacles by prioritizing respect. Origis Energy is seeking a finance professional for the role of Investment Associate or Manager to join our growing team. This position will assist the Company in evaluating, underwriting and managing investments in utility scale Solar and Battery Energy Storage System projects, evaluating project-level financing options, performance reporting and asset management for existing operational projects. The Investment Associate or Manager is a regular, full-time position, and is eligible for our generous employee benefits package, including employer paid health insurance, paid time off, a 401(k) plan with employer matching contributions, and other great benefits. Key Responsibilities • Investment related tasks, including:, • Excel-based project financial modeling, structuring support, ad-hoc investment analysis, • Build and maintain project financial models throughout all stages of the project lifecycle, from inception through operations, • Liaising with relevant cross-functional stakeholders (Business Development, Project Development, Engineering, O&M, Procurement, Tax, Data Science, Legal, Capital Markets) to ensure project information is accurate and consistent, • Preparation and presentation of pricing and final investment memos to the Company's Chief Executive Officer and investment committee, • Analyzing and evaluating strategic corporate M&A opportunities, • Provide modeling support and guidance to Capital Markets team on debt and tax equity project financings, • Assisting with pricing, negotiation, and evaluation of power purchase agreements (PPAs) and battery tolling agreements, with a particular focus on performance forecasting and quantifying financial impacts of risks and key terms; performing analysis of existing contracted and operating fleet to benchmark underwriting against real-time data to create a feed-back loop for process improvement, • New market research and analysis includes:, • Ability to understand key power-market trends in both regulated and deregulated power markets and how they relate to the Company's portfolio, • Providing thought leadership on commercial negotiations as well as help drive internal development priorities for optimal return on capital, • Ability to understand federal, state and local programs for renewable energy incentives and siting / tax opportunities, • Analyzing the incentive and tax environment and ability to underwrite various revenue streams, • Financial Planning & Analysis duties includes:, • Prepare detailed budgets for investment projects, reporting on budget to actuals and be responsible for cash management on relevant investment projects, • Coordinate all activities to assure a successful and timely realization of the project, • Communicate with Capital Markets, Accounting and FP&A department on changes on projects and corporate liquidity impacts of projected tax equity & back-leverage financings, • Other tasks include:, • Assist in the acquisition and sale of projects, • Demonstrated knowledge of renewable energy power plants, • Expert financial modeling skills are essential; prior financial modeling experience (LBO, Cash Flow, Debt Sculpting), • Intimate knowledge of tax equity and project financing structures, including a deep understanding of tax equity partnership accounting (inside / outside basis), • Ideally 3+ years' experience in renewable energy development / private equity / investment banking / project finance; 2+ years' experience in renewables / solar strongly preferred, • Exposure to PPA agreements, • Base level understanding of power markets, • High degree of initiative and work-ethic, • Intellectual curiosity and a sincere interest in renewable energy and a passion for learning, • Proven organizational skills, ability to manage numerous unrelated tasks simultaneously, • Proven ability to deliver quality products under strict deadlines, • Ability to make evidence-based data-driven decisions, • A dedication to accountability and transparency (strong ownership mentality), • Strong problem-solving skills, • Excellent self-directed research capabilities, • Ability to work cross functionally and display emotional intelligence, • Strong team attitude, easy to get along with, willing to learn and take on new tasks, energetic about getting work done, • Critical thinker who enjoys engaging in thoughtful and respectful debate Location New York metro market preferred. Origis has corporate offices in Miami, FL and the Austin, TX market; candidates not located in these metro areas may be required to commute periodically for in-person engagements Travel Up to 10% as deemed necessary by the organization Level Associate or Manager level depending on experience and qualifications – no direct reports Origis Energy is an Equal Opportunity Employer (EOC). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. We are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We embrace and encourage our employees' differences as that is what makes our employees unique. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. More information is available here. California Applicants: Please review our California Privacy Policy and Notice at Collection. Request for Support or Accommodations: As part of our effort to provide equal opportunity to qualified disabled veterans and individuals with disabilities, we are happy to offer support and special accommodations in order for you to successfully reach us with your interest. Please reach out to us at if you would like to request help with your application.

Job Description NOW HIRING! AFTER SCHOOL TECHNOLOGY TEACHER APPLY NOW TO BECOME A ROCKETEER! 'We think we're preparing kids for tomorrow. Kids just think it's cool!' Are you passionate about Video Games, Coding, Python, Roblox™, App Design, Digital Movies, Robotics, Drones, Minecraft™ or STEM? We are seeking enthusiastic, motivated and talented individuals to work as Lead Instructors in our after school programs in Central & Northern NJ. Lead instructors guide students through our world class project based learning curriculum to learn new technology skills in coding, Minecraft, ROBLOX, video editing, game design, robotics and more! * Seasonal (8-16 weeks), with options to continue into additional seasons * Get in-room technology experience with excited students * PAID training! * No formal experience required, but teaching experience in some capacity and strong tech skills highly preferred Requirements * Experience with technology or teaching preferred * Reliable transportation to locations such as East Brunswick, Piscataway, Edison, Paramus, and Carteret. More locations are added throughout the season. * Must be available to teach from 2:15 - 5:00 PM on Thursdays (Additional opportunities available throughout the season) * Lead Instructors must be at least 21 years of age and have experience working with children ages 8-14 and/or technology * Experience with children in an educational setting preferred but not required * Comfortable working with teacher to student ratios of 12/1 * Strong technology skills preferred, such as a background in 3D modeling, digital arts, coding, game creation or design, animation, robotics, modifying games, video editing, competitive gaming, etc. or significant knowledge of Minecraft or Roblox, including modding or streaming * Preference will be given to those who are most flexible on their location and available for multiple sites. * For more information see our website: Additional Details: * This is a seasonal, part-time, hourly position (5-10 hours per week) * Lead Instructor ranging from $24-$30 hourly * Paid Training, toll reimbursement * Opportunities for summer employment of 35-40 hours per week in our camps after completing a school year session. Black Rocket provides unique enrichment and educational programs to children and young adults. Our distinct programs in Creative Sciences and Digital Arts focus on the intersection of creativity and technology. Each course emphasizes self-empowerment, cognitive reasoning, and divergent thinking through hands-on learning. Whether in the classroom or the cloud, we believe every human being is unique in their ability and talents. Black Rocket's mission is to help ignite, unleash and enhance these distinct talents. **We will only review applications submitted online. Please do not send information or submit inquiries via email or phone. Requirements * Experience with technology or teaching preferred * Must be available to teach from 2:15 - 5:00 PM, Thursdays • Lead Instructors must be at least 21 years of age and have experience working with children ages 8-14 and/or technology Experience with children in an educational setting preferred but not required * Comfortable working with teacher to student ratios of 12/1 * Strong technology skills preferred, such as a background in 3D modeling, digital arts, coding, game creation or design, animation, robotics, modifying games, video editing, competitive gaming, etc. or significant knowledge of Minecraft or Roblox, including modding or streaming Benefits: • Paid Training, toll reimbursement

Job DescriptionBenefits: • Flexible schedule, • Free food & snacks Looking for a fun and flexible job? Join Soccer Shots and be the best part of a childs week. What We Offer: • Growth - Potential pay increase after 6 months and beyond., • Training - No experience required! We offer a paid comprehensive training program ($18 per session) to learn Soccer Shots curriculum, developmentally appropriate coaching techniques, and best practices., • Flexibility We only schedule you when youre available, at sessions closest to you, with opportunities to change availability from season to season (winter/spring/summer/fall)., • Career Progression - We love to promote from within. Opportunities to take on full-time roles or internships in program coordination, coach management, marketing, partnerships, and more., • Fun Get ready to be active, laugh, cheer, and maybe even do a victory dance or two. Our coaches aren't just about teaching soccer; they're the smiling faces of our brand, delivering the unique Soccer Shots experience., • Company Events - Including group training to share best practices, team outings, and competitions., • Fun and Positive Work Environment - Core value rewards (swag, gift cards, Nike clothes, employee discounts, etc.)., • YOUR IMPACT - It goes way beyond the field. Our inbox is filled with comments from families raving about our coaches who sparked passion for the game and helped build confidence in kids.Pick Your Schedule From Below Shifts:, • Weekday mornings (9am - 11.30am), • Weekday afternoons (12 - 4pm), • Weekend mornings (8am to 12pm)The Job:, • Bring Soccer Island alive with your enthusiasm and creativity., • Conduct soccer sessions for children 2 to 5 years old, including field set-up and take-down., • Encourage character development through positive reinforcement and modeling., • Utilize expert-created Soccer Shots curriculum and early childhood development teaching techniques in every session., • Foster a safe and inclusive environment for all participants., • Follow all on-site safety and attendance protocols., • Communicate effectively with families, caregivers, and teachers.Qualifications:, • No prior sports/coaching experience is required., • Genuine passion for children and sports., • Energetic, engaging, and responsible., • Safety conscious., • Ability to adapt to the needs of kids ages 2-5., • Access to reliable transportation., • Ability to stand, jog, and model childrens soccer skills. Our Core Values: • We Care, • Were Stronger Together, • We are Candid, • We Own It, • We Pursue Excellence, • We GrowDont miss your chance to be part of a collaborative coaching team, changing lives through soccer.

Job DescriptionAbout the Role We are a data science-driven special investigations unit that uses data across employers, insurers, and contractors to prevent fraud in the insurance space, with a focus on workers' compensation and personal injury fraud. We're building smarter, more predictive systems that will shape the future of fraud detection in blue-collar industries. What We're Looking For We need a talented Data Scientist to work at the intersection of data and engineering, applying statistical analysis, machine learning, and thoughtful experimentation to uncover fraud and assess labor risk. You should have a strong problem-solving mindset and excellent communication skills. What You'll Do • Design and implement statistical models and machine learning algorithms to detect fraudulent patterns., • Analyze large-scale datasets to derive actionable insights for internal and customer-facing applications., • Work cross-functionally with leadership, engineering, and users to align data initiatives with business goals., • Collaborate closely with engineering and product teams to bring data science solutions into production., • 1 - 5 years of experience working on data science projects in fraud/risk modeling, cybersecurity, or machine learning., • Salary: $120k - $160k, • Equity: 0.25% - 0.5%, • Visa sponsorship is not available for this role. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description About Us Burkland’s core purpose is to Accelerate Dreams. So often, turning dreams into reality helps change the world. We thrive at the forefront of this transformation. Startups desire our professionals — they are the best in the business. Startups seek our content — we are an industry thought leader. Startups trust our expertise, so founders can focus on their companies, products and value-add. As a part of our demonstrated value, our clients raised over $3B just last year. At Burkland, we lead with our Core Purpose. We do this for both our clients and our employees. We believe that leaning on our Core Values (Fresh Perspectives, Exponential Value, Empathy, Trusted Partner) will lead to happy clients and happy employees. We are a remote-first company with over 180 incredible team members, more than 800 clients, and a commitment to Accelerating Dreams. The Role Do you enjoy the intellectual challenge of helping a diverse set of startups grow? Do you strive for days that are different, because each client has its own unique challenges? Can you visualize a business and enjoy describing that business through financials? Have you modeled complex business processes in financial terms? Become a trusted ally to CEOs and management teams through efficient, intelligent and accurate work, and the effective communication thereof. Be a finance thought leader to clients internally and externally, and help them see around corners as they build their businesses. Your Typical, Atypical, Day * Working largely independently, apply knowledge, experience, insight, and competence to partner strategically with clients in various industries such as Fintech, Crypto/Blockchain/NFT, SaaS, Consumer, and Healthcare. * This role has variety at its core. From presenting at investor meetings to building financial models for clients, no day will be a “typical day” (hence the typical, atypical day). * You will help bridge the gap between legacy financial thinking and new blockchain-based ecosystems, functions and capital flows. * You will be supporting our startup clients who need high-level finance help but may not have a need for a full-time internal CFO at their current stage. * You will be working with a variety of clients, so the ability to context shift, communicate, prioritize and evaluate needs is the most important thing you’ll be doing in this role. * You will be managing the entire Finance function for your clients, so you’ll want to be comfortable managing a team. * You will have the opportunity to build out robust processes and systems for our clients. So understanding + embracing the agile and scrappy nature of startups is a must. About You * You are naturally curious. You ask meaningful, thoughtful questions, listen carefully, and are eager to begin the problem-solving process once you have the information you need. * You love to learn and grow and embrace the part of the growth process that requires you to take on new challenges. * You are a communicator at your core. Impeccable written and verbal communication is a critical cornerstone of this role. * You lead with integrity in all that you say and do. * You take initiative and jump at the opportunity to explore new ways of doing things. * You take an acutely accurate approach to your work and look forward to the parts of your job that require analytical thinking and planning ahead. * You are an expert collaborator! You ask for and give feedback regularly. * You know and love technology. You possess a strong working knowledge of a variety of systems + tools and quickly learn how to navigate through new ones. * You thrive in a fast-paced, dynamic environment and have experience with and a passion for working with rapidly growing startups and their founders. * You have a Bachelor’s degree, MBA preferred, and over 5 years of experience in a high-level Finance role. Core Competencies * You understand current financial, regulatory & tax landscape, and are passably familiar with the jurisdictional complexities of organizations in this space. * You have a love for all things high-level finance. For example, you should be able to work through the following: * You can lead client fundraising efforts – evaluating the size of a fundraising round, model cap table scenarios/dilution, assist with pitch deck preparation, facilitate investor introductions, and participate in investor pitches. * You can design the Finance function from the ground up. This includes building out team structures, implementing systems, and developing processes. * You can drive comprehensive reporting of financial performance, metrics, and KPIs. * You have strong finance-based modeling & analytical skills. * You can seamlessly juggle hard-hitting CFO deliverables while building strong client relationships. * You have a solid working knowledge of Excel/Google Sheets, Carta, QBO, etc. You’re comfortable using Zoom and other video conferencing tools to facilitate client meetings. What We Offer * Flexible work schedule to promote a healthy work-life balance. * Medical, Dental & Vision Insurance for you and your dependents. * Short & Long Term Disability Insurance to support you when you need it the most. * Flexible PTO - Take time off from work when you need it. * 401 (k) with a company match to ensure you are ready for retirement. * A generous home office expense reimbursement so you have the office you need to be productive. * Forget the commute! We're a remote-first workplace, so you can work from your home office or from the beach, if you’d like! * We offer a collaborative, communicative culture, driven by our Core Purpose + Values. We work with incredibly smart people who love to learn and share what they know. If this sounds like a team you'd like to be a part of, we'd love to hear from you. Burkland Associates is committed to a diverse and inclusive workplace. Burkland Associates is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit our careers page . Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job DescriptionBenefits: • Competitive salary, • Flexible schedule Looking for a fun and flexible job? Join Soccer Shots and be the best part of a childs week. What We Offer: • Growth - Potential pay increase after 6 months and beyond., • Training - No experience required! We offer a paid comprehensive training program ($18 per session) to learn Soccer Shots curriculum, developmentally appropriate coaching techniques, and best practices., • Flexibility We only schedule you when youre available, at sessions closest to you, with opportunities to change availability from season to season (winter/spring/summer/fall)., • Career Progression - We love to promote from within. Opportunities to take on full-time roles or internships in program coordination, coach management, marketing, partnerships, and more., • Fun Get ready to be active, laugh, cheer, and maybe even do a victory dance or two. Our coaches aren't just about teaching soccer; they're the smiling faces of our brand, delivering the unique Soccer Shots experience., • Company Events - Including group training to share best practices, team outings, and competitions., • Fun and Positive Work Environment - Core value rewards (swag, gift cards, Nike clothes, employee discounts, etc.)., • YOUR IMPACT - It goes way beyond the field. Our inbox is filled with comments from families raving about our coaches who sparked passion for the game and helped build confidence in kids.Pick Your Schedule From Below Shifts:, • Weekday mornings (9am - 11.30am), • Weekday afternoons (12 - 4pm), • Weekend mornings (8am to 12pm)The Job:, • Bring Soccer Island alive with your enthusiasm and creativity., • Conduct soccer sessions for children 2 to 5 years old, including field set-up and take-down., • Encourage character development through positive reinforcement and modeling., • Utilize expert-created Soccer Shots curriculum and early childhood development teaching techniques in every session., • Foster a safe and inclusive environment for all participants., • Follow all on-site safety and attendance protocols., • Communicate effectively with families, caregivers, and teachers.Qualifications:, • No prior sports/coaching experience is required., • Genuine passion for children and sports., • Energetic, engaging, and responsible., • Safety conscious., • Ability to adapt to the needs of kids ages 2-5., • Access to reliable transportation., • Ability to stand, jog, and model childrens soccer skills. Our Core Values: • We Care, • Were Stronger Together, • We are Candid, • We Own It, • We Pursue Excellence, • We GrowDont miss your chance to be part of a collaborative coaching team, changing lives through soccer.

Job Description WHO WE ARE Crossmedia is the global media independent. We're committed to doing media and business the right way, guided by the principles of TRUST, REASON and the pursuit of HAPPINESS. Crossmedia US was founded in NY in 2000 and is one of the largest minority-owned full-service media planning & buying agencies in the nation. We are 500+ Crossmedians worldwide with big ambitions to continue to grow with soul. We focus on what media agencies should do: create innovative connections between brands and people regardless of channel or budget. And, we do it in an honest way. We are and always have been a values-based organization. We earn our clients TRUST by ensuring media transparency in our business model and objectivity in decision-making. We apply REASON & logic to finding solutions to our clients' greatest business challenges. The pursuit of HAPPINESS matters to us. Big time. We invest in each colleagues' professional & personal wellbeing and growth. It's why we have countless initiatives, clubs & cultural events dedicated to our people and why we have been the top ranked media agency named to Ad Age's Best Places to Work for the past six years in a row. Our client roster includes US Bank, Invesco, Newell Brands, NASCAR, Planet Fitness, Teremana, American Cancer Society, Ricola, Supercuts, Edible Arrangements, Illva Saronno, Zalando, Airbus and more. We are looking for a passionate and collaborative Engineer, Data and Solutions to join our technology team. The technology team develops innovative solutions that empower our clients to make data-driven optimized media investment decisions with precision, scalability and speed. Your role as an Engineer is to ensure all Crossmedia accounts are being consistently supported and serviced at the highest levels of data accuracy, integrity, integration, and actionable insights. You'll be responsible for developing and documenting best practices across data and AI operations in alignment with our mission. The Engineer is an integral member of the team involved in the "XM Product" that is delivered to each client, providing strategic guidance based on an in-depth understanding of each clients' business, their target consumer and unique category dynamics. The Engineer will be a key parter for the Redbox team (data analytics) and is responsible for helping us deliver breakthrough solutions across advanced analytics, optimization, and audience practices. This includes supporting training initiates, contributing to enhancing our culture, and mentorship of Crossmedians. We are open to a New York, Philadelphia, or remote hire but candidates must be US based. KEY RESPONSIBILITIES • Developing and enhancing the Redbox integrated data layer across Measurement, Audience, Optimization, and Insights, • Partnering with offshore data and development resources to ensure timely and quality delivery of data solutions, • Partnering with clients, account leadership, strategy, planning, and Redbox team leads to develop best-in-class Artificial Intelligence strategies and solutions, • Keeping abreast of fast-moving developments in AI and their application to the XM Product, • Ensuring key Redbox data infrastructure is resilient and future-proofed, • Support client and partner data integrations and developing solutions to automate and scale our audience, optimization, and advanced analytics solutions, • Coordinate on data workflows and solutions requirements with Redbox practice leads, • Champion a culture of continuous innovation and operational excellence for data and AI solutions., • Coordinate and oversee implementation of solutions prototyping huddles and sprints, • Responsible for the ownership and documentation of all media and solutions data infrastructure, • Coordinate with Redbox, Strategy, Planning, and Marketplace teams to develop requirements for automation and AI investments, • Collaborate with Analytics Operations leads to drive global scalability, ensuring localization and compliance with regional data regulations. REQUIREMENTS • Five years of direct experience in integrated media data engineering, including data architecture and solutions development., • A high preference for working within a media advertising agency, • 4+ years of hands-on experience with media ETL platforms and data processing frameworks (e.g., Adverity, Funnel, Fivetran, dbt, Trifacta, Spark), • Expertise managing enterprise level implementation of cloud data solutions such as Snowflake, Databricks, etc, • Experience with data modeling, batch data pipeline design and implementation, • Experience building batch or real-time data pipelines, • Strong software development skills with high proficiency in Python/PySpark or Scala, • High Proficiency in SQL, • Experience in cloud-based infrastructures such as Azure, AWS, or GCP, • Experience with orchestration platforms such as Airflow or Astronomer, • Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team, • Comfortable with CI/CD Pipelines (e.g., GitHub Actions], • Experience with Git version control, and other software adjacent tools, • Understanding of the complexities of marketing data and their application to measurement methodologies including reporting, Media Mix Modeling, and optimization tools, • Experience in the development and roll-out of automation solutions (including AI-based solutions where relevant), • Evidence of exceptional media analytics practices and leadership, including documentation of best practices across processes to validate/test data, remediate data quality issues, and reduce delivery bottlenecks, • Desire to innovative to drive efficiency in operations., • Demonstrated project management and organization skills, • Ability to work and thrive in an interdisciplinary and collaborative work environment, • Experience working across complex international agency structures, • Team management, including managing and mentoring team members. Reviews, performance issues, timely reviews/feedback, active work distribution and fair rotations, • Strong listening skills: believes good thinking can come from anyone and any place. Salary: 125 - 150k. Commensurate with experience. Compensation is determined on the skills, qualifications, certifications, tenure in the industry and experience of the applicant along with the requirements of the position. CROSSMEDIA BENEFITS Our principles of Trust, Reason, and the Pursuit of Happiness are brought to life through benefits that recognize and support the diversity and physical, emotional, and professional well-being of our people, including: • Flexibility to work in hybrid manner with in-office and work from home options (depending on role)., • Open/Flexible PTO with US & UK specific policies, • Sponsored healthcare options and agency-wide physical & mental health support, • 401k with company match (USA), and generous Pension (UK), • Paid sabbatical at significant milestone anniversaries, • Generous paid parental leave policy, • Life milestone recognition & support, • The Pursuit of Happiness Fund devoted to helping Crossmedians find their happy (be it travel, enrichment class, fitness membership or professional development), • Cell phone/tech reimbursement, • Student Loan payment plan (US), • Tuition reimbursement, • Learning & Development and training programs, • And burgers – lots and lots of burgers COMMITMENT TO DIVERSITY AND INCLUSION Diversity is in our DNA. As a minority-owned company, our commitment to an inclusive environment has long been embedded into agency practices and at every level. Almost one third of senior leadership identifies as a person of color and over half of our executive leadership are women. We have active mentoring & internship programs that create opportunities for underrepresented groups. Internal agency programming is anchored by XMEquity365, a permanent, year-round initiative fostering acknowledgement and support of marginalized communities within five pillars – Excellence, Voices, Education, Giving & Representation. Crossmedia is committed to providing equal employment opportunities and creating a diverse and inclusive company culture and that does not discriminate against candidates and employees because of their disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other basis prohibited by applicable federal, state, or local law. All job requirements are subject to possible revision to reflect changes in the position requirements, business necessities and/or to reasonably accommodate individuals with disabilities. Essential and other job functions are subject to modification. This job description in no way states or implies that these are the only duties to which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with laws in the US and UK ). Continued employment remains on an "at-will" basis." Reasonable accommodations may be provided to enable individuals with disabilities to perform essential functions in compliance with the American with Disabilities Act of 1990 (US based) Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job: • Prolonged periods of sitting at a desk and working on a computer. Must be able to remain in a stationary position 50% of the time., • Ability to stand, bend, and reach, • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer., • The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. The Marketing Analytics Manager is a pivotal individual contributor responsible for deeply analyzing marketing data to inform strategic decisions and optimize campaign performance. You will leverage various marketing data sources, generate actionable insights, and collaborate closely with marketing, business intelligence, product, and other relevant teams to measure marketing effectiveness. This role focuses on applying advanced analytical techniques and tools to directly boost ROI and engagement across our initiatives. This is a full time, remote role reporting to the Director, Marketing Analytics. East Coast location required. What you'll be doing: • Drive data quality and integrity within marketing analytics datasets, ensuring accuracy and consistency across relevant data sources to enable effective decision-making, • Collaborate effectively with Sales, BI, Engineering, and Marketing teams to align on data needs, forecasts, and performance metrics critical to achieving KPIs, • Support the execution and optimization of key marketing analytics processes, including weekly/monthly/quarterly reporting, attribution modeling, lead routing analysis, and pipeline analysis, to ensure accurate tracking and reporting of marketing performance, • Partner closely with the Business Intelligence (BI) team on setting up and maintaining tracking mechanisms and dashboards that provide real-time visibility into key marketing metrics, • Support and enable the marketing team in tracking and reporting on their own campaign performance by providing guidance, tools, and best practices to foster greater self-sufficiency in data reporting, • Drive the execution of marketing analytics initiatives, ensuring the right data is collected, analyzed, and interpreted to optimize campaigns and enhance lead generation, • Provide actionable insights based on deep data analysis to help inform marketing strategies, improve conversion rates, and maximize ROI, • Timely and impactful delivery of marketing analytics initiatives, directly enabling data-driven decision-making across relevant teams, • Proactive collaboration with Sales, Business Intelligence, and Marketing teams to ensure alignment on critical data needs, forecasts, and insights that drive key performance indicators (KPIs), • Consistent delivery of accurate and actionable marketing analytics reports that directly support strategic business decisions and contribute to measurable improvements, • Proactive identification and translation of data trends into actionable opportunities, consistently optimizing marketing strategies and improving conversion rates, • 5+ years of dedicated experience in marketing analytics, including expertise in B2B and B2B2C, • Strong proficiency in key analytics platforms such as Google Analytics, Mixpanel, Looker, Hubspot and Salesforce, • Demonstrated strong proficiency in Iterable, • Proven ability to translate complex data sets and analyses into clear, actionable insights for diverse stakeholders, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job Description About Bobbie Bobbie is creating a parenting culture of confidence, not comparison. And it starts with how we choose to feed our babies. We crafted our European style infant formula with purposefully sourced, organic ingredients to give parents a product they are proud to feed their babies, direct to their doorstep. Bobbie is proud to be the only US formula that is designed to meet both FDA and EU standards. Although 83% of parents turn to formula in the first year of their baby's life, this is the silent majority that is often shamed for not being able to exclusively breastfeed. Co-founded by two moms and created by a team of mom scientists, nutritionists, pediatricians, and lactation consultants, the Bobbie team knows first hand that there is no one size fits all for feeding. With Bobbie, we hope you can Bottle Boldly. The Role We are looking for an exceptional Chief Financial Officer to join our executive team and drive the financial strategy of our rapidly scaling business. We are at an inflection point in our growth, and his role will be instrumental in supporting our growth across retail, DTC, and manufacturing channels while maintaining operational excellence and financial discipline. You are a strategic business partner who can navigate the complexities of owned manufacturing operations and help tell our compelling growth story to investors and stakeholders. You've helped build brands and know what it means to lead through step-level change moments. What you'll own:Financial Strategy That Drives Growth • Work hand-in-hand with our CEO and cross-functional teams to build financial plans that fuel our growth ambitions, • Maintain healthy, fully-loaded contribution margins as the business scales across retail, DTC, and manufacturing channels, • Deliver financial reporting and forecasting that gives everyone the insights they need to make smart decisions, • Build budgets that balance big growth bets (new manufacturing capacity, clinical trials, channel expansion) with the discipline to optimize costs, • Manage our cash flow so we always have the runway to fund our next chapterCapital Strategy & Allocation, • Lead capital raising initiatives through debt, equity, or other instruments to fund expansion, acquisitions, and new product development, • Analyze different financing options and determine the optimal capital structure to support growth objectives, • Evaluate and execute strategic acquisitions that align with the company's growth strategy, • Develop and maintain relationships with investors, lenders, and financial partners, • Act as the executive lead on financial transactions and capital events, including investor storytelling, board updates, and partnership with investment bankersFinancial Planning That Powers Decisions, • Create and manage sophisticated financial models for short and long-term business planning, including forecasting sales, expenses, and cash flow, • Conduct financial modeling, forecasting, and scenario planning to stress-test growth assumptions and identify risks and opportunities, • Provide robust data-driven insights to inform strategic decisions around growth initiatives, • Establish KPIs and metrics that drive accountability across the organizationExecutive Partnership & Strategic Leadership, • Be a trusted strategic partner to our CEO, executive team, and Board, • Communicate the company's growth story effectively to investors, analysts, and the market, • Collaborate closely with cross-functional leaders to align financial strategy with overall business objectives, • Participate in strategic planning and business development initiatives, • Lead beyond the Finance function, flexing into operational and organization areas as needed to help the business scale smartly, • Bring strong change management leadership, with experience navigating rapid scale or business transformationBuild a World-Class Finance Team, • Build and lead a finance team that's as passionate about our mission as they are about the numbers, • Create a culture where people own their work, keep learning, and innovate on how we do finance, • Put in place the systems, processes, and controls that let us scale without breakingManufacturing & Supply Chain Finance, • Understand and optimize the financial dynamics of owned manufacturing, including COGS, overhead allocation, and cost-saving opportunities, • Manage inventory, working capital, and operational efficiency within manufacturing operations, • Establish comprehensive risk management strategies to identify, monitor, and mitigate financial, operational, and compliance risks, • Drive cost optimization initiatives across the supply chainWhat we're looking for:, • Strong experience at the enterprise level in growth-stage environments, • Track record of active Board involvement and partnership with investment bankers and external stakeholders, • Ability to operate in ambiguity and take on cross-functional responsibilities outside of traditional Finance scope, • Combination of large-company training and growth stage consumer brands, • MBA, CPA, or equivalent advanced degree in Finance, Accounting, or related field, • 20+ years of progressive finance leadership experience, with at least 5 years in a CFO or senior finance executive role, • Proven track record in scaling consumer products businesses, preferably with manufacturing operations, • Demonstrated experience raising capital (debt and equity) and managing investor relations, • Experience building and leading high-performing finance teams in growth environments, • Proficiency with advanced financial planning tools, ERP systems, and business intelligence platforms, • Exceptional written and verbal communication skills with ability to present to boards and investorsNice to Have:, • Deep understanding of manufacturing cost accounting, inventory management, and supply chain finance, • Knowledge of FDA regulations or other relevant regulatory frameworks, • Experience with public company financial reporting and compliance, • Be Radical - We are change makers, rule breakers and stigma shakers. We are unapologetically bold and use our megaphone for good., • Nurture the Tension - Parenthood is full of healthy tension, and so is building a company. We embrace the unknowns, practice humility and are a culture of learners., • Deliver Ounce by Ounce - Our customers have entrusted us to feed their babies. We lose sleep over the details, so they don't have to., • Competitive stock options, • 401k with employer match, • Employee medical, dental, and vision insurance 100% covered by Bobbie, with options to add dependents through a subsidized pre-tax deduction, • US-based remote work model, • Flexible Time Off Policy (including Summer Fridays; half days on Fridays Memorial Day through Labor Day), • 16 paid company holidays, plus an end of year holiday shut down, • 16 weeks of paid parental leave with the option to take an additional 8 months unpaid, • One year subscription to Bobbie or Baby's Only, • $75 monthly internet stipend Bobbie is an equal opportunity employer. We do not make hiring or employment decisions on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law. Bobbie Personnel Privacy Policy and Notice at Collection

Job DescriptionCompany Description About Sia Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description To support its growth, Sia Partners is recruiting a Data Architect Manager with strong expertise in Data Architecture, Data Modeling, Data Engineering and great client communications. You will join the global Data & AI capability at Sia Partners, consisting of 300+ Data & AI professionals located across Europe, North America, and Asia. You will be part of the growing US Data & AI team, focusing on various Data assignments in a variety of business domains. Key Responsibilities • Leading Data Projects: Manage the delivery of Data projects, working across several clients in the US., • Business Development: Collaborate with Sia Partner’s US Data & AI Leads, Business Units teams, and Data & AI centers from other locations to develop proposals for potential opportunities., • Client Engagement: Identify opportunities to expand Sia Partners' Data & AI offering to existing clients., • Professional Networking: Build and maintain external professional peer networks to drive new revenue opportunities., • Marketing and Thought Leadership: Support marketing campaigns, contribute to external positioning across social networks, work on blogs, and develop Sia Partners’ assets, including methodologies and tools., • Recruitment and Team Development: Lead recruitment initiatives for the Data & AI team, advise on market positioning, and support the operational and career management of Data & AI consultants., • Coaching and Mentoring: Mentor colleagues in performance and development, facilitate learning, and enhance the team's technical knowledge and consulting skills. Qualifications, • 7-10 year of experience in a consulting, financial services, fintech and similar environments., • Data & AI Expertise: Proven experience in applying Data Architecture solutions to several business domains., e.g., financial services., • Team Leadership: Experience in leading and developing high-performing teams, preferably in a consulting environment., • Technical Skills: Expertise in Data Modeling, SQL, Python, cloud-based infrastructure (AWS, Azure, GCP) and in one or more of the major data platforms (e.g., Databricks, Snowflake, Fabric, BigQuery, RedShift, etc.), • Communication: Excellent skills to convey complex technical information in simple terms to various stakeholders., • Project Management: Strong organizational skills and the ability to manage projects from conception to completion within tight deadlines. Additional Information Compensation & Benefits We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation • Annual base salary starting at $162,000, commensurate with experience and qualifications, • 3 Medical plans, • Dental and Vision, • 401K retirement plan, • 4% matching and 100% vested upon enrollment, • Health Savings Account (HSA), • Flexible Spending Account (FSA), • 100% paid parental leave for all new parents with eligible tenure, • Generous Paid Time Off (PTO) policy, • College savings and student loan repayment assistance, • Monthly cell phone stipend, • Access to wellness programs at no cost if enrolled through Medical plan, including:, • Gym membership reimbursement, • LiveHealth Online virtual care, • Personalized support from a Well-being Coach, • Employee Assistance Program at no cost, • Free confidential counseling and emotional support services At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Job DescriptionCompany Description For more than 70 years, IDB Bank has made it our mission to be the best bank for our clients by putting their needs first, and the success we’ve enjoyed fundamentally comes down to our people. Here at IDB, you’ll work side by side with some of the most talented professionals in the industry who share a strong sense of teamwork and a passion for providing exceptional service down to the smallest detail. We offer a comprehensive benefits package that includes generous paid time off and the ability to participate in our medical coverage and 401(k) plan on your very first day with us. We are also committed to diversity and inclusion, and to providing all of our team members with an equal opportunity to succeed and make meaningful contributions within a work environment that is respectful, welcoming and inclusive. Job Description We are seeking a Senior Underwriter with a strong background in Middle Market lending to join our Credit Underwriting team. The ideal candidate will have expertise in underwriting apparel and related companies and experience in asset-based lending stracture. Experience with healthcare industry write-ups is a plus. This role requires strong analytical skills, the ability to multi-task, and the capability to work efficiently under tight deadlines while ensuring high-quality credit assessments. This is an excellent opportunity for a detail-oriented professional who enjoys working on complex transactions and collaborating with relationship managers, credit risk teams, and other stakeholders. Key Responsibilities Financial & Credit Analysis • Conduct comprehensive financial statement reviews and assess cash flow trends., • Develop detailed cash flow and sensitivity analyses to evaluate borrowers' financial health., • Structure credit facilities that align with risk parameters and client needs., • Lead underwriting efforts for middle-market companies, with a preference for apparel and related industries., • Participate in client meetings, assessing financing needs and structuring optimal credit solutions., • Identify key risks in transactions and develop thoughtful risk mitigation strategies., • Partner closely with relationship managers and credit risk teams to drive deal flow., • Contribute to process improvements and best practices within the team., • Assist with special projects as needed, supporting strategic initiatives. #LI-Hybrid Qualifications • Bachelor’s degree in Accounting, Business, Finance, Economics, or a related field., • 7+ years of experience in C&I underwriting, preferably with exposure to apparel and related industries., • Experience in asset-based lending (ABL) is a plus., • Strong understanding of C&I loan structures, credit facilities, and risk assessment., • Proficiency in financial statement analysis, cash flow modeling, and collateral evaluation., • Experience in assessing field exams, inventory, and intellectual property (IP) appraisals., • Familiarity with regulatory requirements and industry best practices., • Ability to multi-task and effectively prioritize in a fast-paced environment., • Detail-oriented with a strong commitment to producing high-quality work., • Strong analytical skills with the ability to assess complex financial data., • Effective communicator with the ability to work collaboratively across teams., • Ability to work under tight deadlines while maintaining accuracy., • Work on diverse and complex transactions with exposure to multiple industries., • Collaborate with experienced professionals in a dynamic and supportive environment. Compensation The expected annual base salary for this position is between $110,000 - $175,000 at the start of employment. A salary offer is determined on an individualized basis, taking into consideration factors such as an individual’s skills, experience, and book of business. In addition to base salary, our total rewards package also includes eligibility for incentive compensation, medical, pharmacy, dental, and vision plans, life and disability insurance, employee wellness program, retirement and savings plans with employer contributions, generous holiday and paid time off schedules, parental leave, and tuition reimbursement. Additional Information The Bank will make reasonable accommodations to the following employees to allow them to perform the essential functions of their position, except where doing so would result in undue hardship to the Bank: • Those with a known mental or physical disability., • Pregnant individuals and/or individuals with pregnancy or childbirth-related medical conditions., • Victims of domestic violence, sex offenses or stalking. The Bank retains the ultimate discretion to choose the appropriate reasonable accommodation. Upon reaching a final determination at the conclusion of the cooperative dialogue, the Bank will provide the requesting individual with a written final determination identifying any accommodation granted or denied. In addition, the Bank will maintain any information regarding the employee’s request and status in the strictest confidence, except as requested by the employee, as required on a need-to-know basis or as otherwise required by law. Disclaimer The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. All your information will be kept confidential according to EEO guidelines. Due to COVID-19, we are now operating on a hybrid schedule. We value the safety of our employees because we’re all in this together. NO AGENCIES PLEASE. IDB BANK, INCLUDING ITS SUBSIDIARIES AND DIVISIONS, PROVIDES EQUAL EMPLOYMENT OPPORTUNITIES TO ALL EMPLOYEES AND APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, SEXUAL ORIENTATION, NATIONAL ORIGIN, AGE, DISABILITY, GENETIC STATUS, CITIZENSHIP STATUS, MARITAL STATUS, MILITARY OR VETERAN STATUS, CURRENT UNEMPLOYMENT OR ANY OTHER LEGALLY PROTECTED CATEGORY IN ACCORDANCE WITH APPLICABLE FEDERAL, STATE AND LOCAL LAW. NOTHING IN THIS SITE CONSTITUTES A PROMISE OR OFFER OF EMPLOYMENT.

Job Description financial market risk management and quantitative modeling, SQL, R, Python, Matlab, complex financial models., ETFs If you post this job on a job board, please do not use company name or salary. Experience level: Mid-senior Experience required: 10 Years Education level: Bachelors degree Job function: Information Technology Industry: Financial Services Pay rate : Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Location: Jersey City - Hybrid - 3 days a week onsite Contract Only- will be extended upon performance evaluation Interview Process: 2 rounds- 2nd round in person (onsite Interview) Your Primary Responsibilities: Research and prototype risk model for newly issued ETFs. Extend the scope for the Hybrid VaR as an benchmark for existing VaR methodology. Assist the NSCC MTM passthrough effort. Facilitate model specification and communication with stakeholders such as Market Risk, and Risk Technology team. Qualifications: 5 years of experience in financial market risk management and quantitative modeling Masters degree in quantitative disciplines Proficient in SQL, any other high level programming languages, such as R, Python, Matlab, is a plus Hands on experience on developing complex financial models. Solid equity production knowledge, especially ETFs Detail oriented and team player.

Job Description:\n\nWe’re looking for a curious, rigorous, problem-hungry platform engineer (who codes!) to carry the ball as we bring Ashby to the big leagues. Ashby builds software that lets talent teams build an efficient, delightful, respectful hiring process. Similarly, you’re an engineer who wants to build a “paved road” that excellent engineering teams can safely take to the moon and back. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, over 2500 customers, very low churn, and many years of runway. We’ll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role 😅. We’ve listed this role twice: as a Platform Engineer and Site Reliability Engineer – our team does both, and we are open to candidates who lean towards one or the other. About the role and how we work Hi 👋 I’m Colin, Head of EMEA Engineering. I’ve spent a number of years leading engineering teams in startups, and that has always included being close to infrastructure teams - no matter what name they’ve worn (SRE, infrastructure, platform, etc). I’ve got my hands dirty building the initial infrastructure for startups and know the value a talented infrastructure engineer brings. The rigour, the discipline, the peace and quiet when everything just hums along. Our infrastructure is in a good place for now. Nothing is static. Ashby continues to grow rapidly, putting strain on our existing infrastructure. We’re always looking to give our customers more powerful hiring software, and building new product features often requires new pieces of infrastructure. Having herded plenty of snowflakeservers in the past, I’ve learned there’s a better way. I (and Ashby) place a lot of value on code-as-infrastructure. As a Platform Engineer at Ashby, you’ll get to dive into scaling problems, add new capabilities to our platform, and think about how our entire team interacts with infrastructure. All our own engineers own their projects end-to-end and ship with minimal oversight. We don’t put roadblocks to ensure security when common sense will do and we don’t build processes like change management boards around the lowest common denominator. But with great power comes great responsibility: we handle personal and confidential data about some of the biggest decisions we ever make at work. As we grow, more and bigger customers rely on us to be reliable and secure and how we operate internally will need to evolve. We’re at an inflection point where our ability to scale and deliver a seamless experience has a make-or-break impact – we have some of the fastest growing companies using our platform every day to hire hundreds of people per month. We need someone like you to make good decisions, debug thorny issues, and build us a future-proof platform that can withstand this scale. Our small but mighty infrastructure team has set up a secure and simple environment (we don’t believe in spinning up a new service unless necessary!) for our growing product team to build in. That’s where you come in: you, too, will own projects end-to-end and have an impact on core parts of the Ashby developer and user experience. For instance, you could work on: Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so Create automated guardrails for the security and privacy of our customer data Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime Work with the business and the engineering team to define SLOs and implement the corresponding SLIs. Ensure all communication with external services supports retries and circuit-breakers. Implement the infrastructure to support an event-driven architecture and data warehouse. We’re looking for someone who can build systems that an engineer would like to work with: mature and boring but open-minded and approachable. We have to balance reliability with flexibility. Software and its availability are now mission critical to almost every working professional. To be in an SRE in today’s world, you have to be extremely comfortable evaluating risk, those you take and those others take. Why you should or shouldn’t apply You should apply if: You never stop. You get weirdly obsessed about a problem that doesn’t yet make sense, turn it every which way in your head until the explanation dawns. You’ll search every rock, inventory every clue, hunt every mismatch. We do that, too - together we’ll be armed with state-of-the-art monitoring tools and an impressive amount of data, and join you in the adventure. You don’t take shortcuts. You’re speaking up for the future user, the edge case, the doomsday design. You know product engineers want to build it with you, and see them as allies, where you give them the power and knowledge to access greater things. You’re someone who cares about what you do and the team you do it with, and want to work with others who do as well. You’ll be on interview panels choosing your next colleagues, and you’ll take that seriously. You only want to work with people who make you better, and want to make you better. You’ve built infrastructure at a slightly later stage than Ashby is at - you know how to deal with millions of data points, have seen great (or not great) infrastructure make or break customer experience, and have automated everything from provisioning to monitoring and release process. You’re a Swiss army knife (all nationalities welcome ;) ). You’ll get every hard problem the company faces. You’ll get to do infrastructure updates, security enforcements, database optimization, Kubernetes debugging, and digging through Typescript traces figuring out what doesn’t work. You probably don’t feel like an expert at at least some of that... and that appeals to you. All that makes for a pretty specific kind of role, and the job isn’t to everyone’s tastes! You should not apply if: You don’t want to make your own decisions on what is the best paved road to build for Ashby, and expect a lead or manager to make the final call on what that is. Our leads (and managers) give ample commentary and feedback on technical decisions and how they’re made, but you ship what you want to build and are accountable for it. You hate SQL. We have a lot of features built around making the best out of data, and our platform engineers also sometimes dive into a gnarly report or advise engineers on a more performant data model to use. You don’t want to code. Our SREs are some of our best software engineers and they are just as responsible for the application as the other engineering teams - albeit at a platform level. Reviewing code and submitting code changes will be part of your day to day. Your primary mode of communicating best practices to engineers is live meetings. We’re a very async culture and written communication (and code) is how changes get made. As an Ashby SRE, you will need to share new tooling and best practices with engineers faster than your next meeting opportunity will take you. You’ve never delivered a project, on your own, without someone prodding you for updates. We have no project or delivery managers to fill your calendar with busy work, but the flip side is you have to do your project management, seek the help you need to get unstuck and cut scope when it’s worthwhile. Technology Stack I’m sharing our tech stack with the caveat that we don’t require previous experience in it: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. We use Datadog and Sentry on 100% cloud-based (AWS) infra. We take developer experience and reliability seriously: all engineers are on call in a follow-the-sun model, and everyone contributes to developer tooling. What We’re Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Engineering Culture Our engineering culture is motivated by Abhik and Benji’s (our co-founders) belief that a small talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through: Minimal process with ownership over decisions normally made by product and design Natural collaboration and deliberate communication Investing in tools and abstractions that give us leverage Putting effort into building a diverse team Minimal Process & Lots of Ownership The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Collaboration is Natural & Communication is Deliberate Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (Abhik wrote about it here). To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years: We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. Increase Leverage, not Team Size We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾. Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: Put Effort into Diversity Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. Interview Process At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises. Our interview process is three rounds: Introduction call with Hiring Manager (15 to 30m, live) A technical screen where we pair in our actual codebase (1h, live) Three non-coding interviews that focus on technical design, debugging incidents, and infrastructure (3h 15m, live can be split across multiple days) Depending on our leadership team’s bandwidth, we may start with an additional 30m screen with a recruiter. Your hiring manager will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect (you’ll need minimal preparation). You’ll meet 4 to 6 people in engineering (with 5-15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback! Your First Three Months at Ashby We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and b

Job Description About Us At Prenuvo, we are on a mission to flip the paradigm from reactive "sick-care" to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against "we caught it too late again". Prenuvo is seeking a Senior Manager, Marketing Analytics to lead efforts in building robust measurement frameworks, advanced forecasting models, and rigorous experimentation strategies to support our growth and lifecycle marketing initiatives. You will play a pivotal role in quantifying impact, informing marketing investments, and guiding data-driven decision making across the organization. This position is fully remote and preference will be given to candidates who are able to work EST hours. Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people's lives! What You'll Do • Develop and implement comprehensive measurement frameworks to evaluate performance across the full marketing funnel (awareness, consideration, conversion, retention)., • Build and refine forecasting models to project demand and revenue growth by leveraging consumer funnel data, including traffic, lead conversions, bookings, and downstream metrics., • Track and optimize bottoms-up consumer funnel KPIs, and partner with Marketing and Finance teams to model different growth scenarios to hit short- and long-term business goals., • Design and execute incrementality tests, A/B experiments, and advanced causal inference analyses to determine the real impact of marketing activities., • Lead the development of Marketing Mix Models (MMM) to inform and optimize marketing channel spend allocation., • Partner with Growth, Lifecycle, and Brand teams to generate actionable insights from cohort analysis and performance breakdowns across paid, organic, and lifecycle efforts., • Collaborate closely with Data Engineering to define clear and scalable ETL requirements, build relevant data models, and ensure the data warehouse supports high-quality growth marketing insights., • Be hands-on with tagging and instrumentation tools such as Google Tag Manager (including server-side tracking), ensuring accurate event tracking and compliance with internal data standards., • Own the test & learn roadmap: prioritize experiments, align stakeholders, document results, and drive continuous optimization., • Build and maintain dashboards in Looker/Tableau and spreadsheet-based models to track performance, inform forecasts, and present executive-level insights., • Support executive reporting with clear data storytelling and visualizations to inform business planning and resource allocation., • Contribute to the development of scalable data pipelines and automations by collaborating with data engineering and RevOps teams. What You'll Bring • 5–7 years of experience in marketing analytics, growth strategy, or business intelligence—preferably in a B2C or B2B SaaS or consumer technology environment., • Bachelor's degree in Mathematics, Statistics, Economics, Business, or a related quantitative field (or equivalent experience)., • Expertise in SQL, Python, Excel/Google Sheets, Looker/Tableau, and familiarity with data platforms such as Salesforce, Databricks, and Google Analytics., • Deep experience working with multi-source data sets: digital marketing platforms, CRMs, web analytics, internal product data, etc., • Strong understanding of forecasting, causal inference, incrementality testing, and MMM methodologies., • Hands-on experience with Google Tag Manager, event tagging, and server-side tracking implementations., • Working knowledge of ETL design and collaboration with engineering teams to enable robust, analytics-ready data pipelines and models., • Strong grasp of statistical concepts: regression, time-series modeling, hypothesis testing, Bayesian methods, etc. First: we are Pioneers • An avenue to make a positive impact on people's lives and their health, • We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member, • Growth opportunities are at the heart of our people journey, we're doing big things with bright minds - there is no single path to success, it can be shaped along the way, • Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize, • Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it, • We now offer the Prenuvo's Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we've got you covered—making your commute easier and more affordable!, • Retirement made easy! Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions., • We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules. Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to .

Job Description About Goodie AI: Goodie AI is a pioneering LLM visibility and AI search optimization platform enabling the world’s top brands to own their AI narrative across leading LLMs like ChatGPT, Gemini and Perplexity. Backed by strong funding and validated by active paying customers, we are scaling fast and tackling some of the hardest AI search challenges. We're looking for our first dedicated Finance and Accounting professional to build the financial foundation of our rapidly growing startup. As our founding finance hire, you'll have the unique opportunity to establish financial processes, systems, and practices from the ground up while working directly with leadership to support our next phase of growth. This role is perfect for someone who thrives in a fast-paced environment, enjoys wearing multiple hats, and wants to make a significant impact on a company's financial future. After you apply, check out Goodie AI's website to learn even more! You are: • Someone with a startup mindset with ability to work independently and make decisions quickly, • Extremely detail oriented and organized, • An excellent communicator and highly skilled when it comes to presenting to executives and board members, • Comfortable with ambiguity and changing priorities, • Self-motivated with strong project management capabilities, • Comfortable learning new software and systems quickly, • Interested in AI/ML industry trends and business models, • Establish and maintain accurate books and records using modern accounting software, preferably Quickbooks, • Manage accounts payable, accounts receivable, and cash flow, • Prepare monthly financial statements and management reports, • Oversee payroll processing and benefits administration, • Ensure compliance with tax requirements and coordinate with external accountants, • Implement financial controls and approval processes, • Build financial models and forecasts to support business planning, • Prepare board-ready financial reports and investor materials, • Support fundraising efforts with due diligence preparation and financial analysis, • Develop budgets and track performance against financial targets, • Select and implement accounting and financial management systems, • Create scalable processes for expense management and financial reporting, • Establish vendor management and procurement processes, • Develop financial policies and procedures documentation, • Partner with leadership on strategic financial decisions, • Support pricing strategies and contract negotiations, • Analyze investment opportunities and operational efficiency, • Collaborate with legal and HR on equity management and compliance You have: Experience • 3+ years of progressive finance and accounting experience, • Previous experience at a startup or high-growth technology company preferred, • Background in SaaS, AI, or startup tech companies preferred, • Strong proficiency in accounting software (QuickBooks), • Advanced Excel/Google Sheets modeling capabilities, • Experience with financial planning software (Carta, Forecastr, or similar), • Familiarity with expense management tools (Ramp, Expensify, Brex, etc.), • Bachelor's degree in Accounting, Economics, Finance, or related field, • CPA preferred but not required, • MBA with focus on finance and accounting a plus., • Relevant certifications or coursework in financial analysis or modeling a plus Benefits & Perks of becoming a (No)Goodie: • Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities, • Health First: Premium Medical, Dental & Vision Coverage, • Flex Work Environment: Hybrid at HQ and remote globally, • Set Up Shop: Home Office Stipend, • Recharge Anytime: Unlimited PTO Plan, • Family First: Paid Parental Leave Plan, • Secure Your Future: 401(k) Plan with Employer Matching, • Level Up: Mentorship & Career Growth Support, • Always Be Learning: Access to Top-tier Resources & Industry Experts, • Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite), • Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans, • Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours, • Grow With Us: Endless Opportunities to Lead & Succeed, • Keep on Shining: Ongoing Employee Development Programs EEO & Compensation Transparency: NoGood is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. NoGood complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $80,000 - $110,000. At NoGood, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, NoGood is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Job Description WHO WE ARE Crossmedia is the global media independent. We're committed to doing media and business the right way, guided by the principles of TRUST, REASON and the pursuit of HAPPINESS. Crossmedia US was founded in NY in 2000 and is one of the largest minority-owned full-service media planning & buying agencies in the nation. We are 500+ Crossmedians worldwide with big ambitions to continue to grow with soul. We focus on what media agencies should do: create innovative connections between brands and people regardless of channel or budget. And, we do it in an honest way. We are and always have been a values-based organization. We earn our clients TRUST by ensuring media transparency in our business model and objectivity in decision-making. We apply REASON & logic to finding solutions to our clients' greatest business challenges. The pursuit of HAPPINESS matters to us. Big time. We invest in each colleagues' professional & personal wellbeing and growth. It's why we have countless initiatives, clubs & cultural events dedicated to our people and why we have been the top ranked media agency named to Ad Age's Best Places to Work for the past six years in a row. Our client roster includes US Bank, Invesco, Newell Brands, NASCAR, Planet Fitness, Teremana, American Cancer Society, Ricola, Supercuts, Edible Arrangements, Illva Saronno, Zalando, Airbus and more. YOUR ROLE We are looking for a passionate, collaborative, and adaptable Director to join Redbox, Crossmedia's analytics and business intelligence team. We are an integrated analytics practice that empowers our clients to make media investment decisions by understanding the dynamic between building their brands and driving performance. As a senior member of the team, the Director closely partners with the Group Director in reviewing the group's project briefs and acting as the planning horsepower behind current and prospective client strategic problems. You are comfortable directing strategic discussions with clients to help define objectives, target customers & opportunity sizing, communication channels, optimal budget allocations and investment levels etc. • Develop strong relationships with clients built on trust and expertise., • Advise clients on best practices and any evolving trends., • Transform data into engaging visuals and compelling stories. You will bring data and research to life for clients and choose the best visuals and mediums to deliver the message., • You will be the expert in senior client meetings. You are expected to guide the discussion, present findings and recommendations, and simplify advanced analytics., • Work with our media team to understand historical media performance, optimal media budget, and allocate budget across multiple media channels Team project management and training • You are a team leader and instill values of teamwork – be it Redbox functional team or cross-functional teams comprising of planners, buyers, Ad ops etc., • Manage the expectations of juniors as well as senior members on the team. Keep the senior team ( GD+) informed about the progress of various tasks, flag risk if any, and bring them in for timely senior coverage., • Train the team on delivering the Best-in-class output to clients and account teams – be it in measurement, dashboarding, generating insights, and presenting., • Be the key person that the team looks up to for leadership and guidance, but constantly take input from them and show clear direction and decision-making., • Is fully committed to staff training of current team, participates in formal training and serves as a mentor., • Adheres to the employee evaluation process, providing timely and constructive feedback to direct reports., • Leads in building the reporting and dashboarding platform for the client alongside the team., • Be open and ready to push yourself to learn new things - new tools, new measurement techniques, visualization platforms, audience building, MMM or MTA, • Client(s) feels a sense of partnership (vs. service-oriented relationship), • Displays a high level of personal dedication and motivation, • Contributes to XM culture, • Participates in XM Training to enhance their professional growth, • Builds esprit de corps through strong team communication, • Shares teamwork; internally or submits it for industry awards, • An MA or BA in a quantitative field (mathematics, statistics, business analytics) and 6+ years' experience in media analytics and business intelligence, with a focus on Marketing Mix Modeling and marketing measurement strategy, • Experience crafting tailored measurement + optimization frameworks and test + learn agendas across multiple verticals and media types, • Strong understanding of media channels (traditional, digital, retail, and commerce media) and how they drive business results., • Experience with statistical modeling platforms/tools (e.g., Python, R, SQL) a plus, but storytelling and strategy skills are equally critical., • Ability to synthesize complex technical outputs into clear, client-ready insights., • Highly effective project/team manager: Has solid organizational skills including attention to detail and multitasking agility, • Reliable & responsible: can steward the analytics team day to day and help manage workflow. Manage across multiple projects, tools, clients, deadlines., • Excellent collaborator & communicator. Used to presenting in front of larger audiences CROSSMEDIA BENEFITS Our principles of Trust, Reason, and the Pursuit of Happiness are brought to life through benefits that recognize and support the diversity and physical, emotional, and professional well-being of our people, including: • Flexibility to work in hybrid manner with in-office and work from home options (depending on role)., • Open/Flexible PTO with US & UK specific policies, • Sponsored healthcare options and agency-wide physical & mental health support, • 401k with company match (USA), and generous Pension (UK), • Paid sabbatical at significant milestone anniversaries, • Generous paid parental leave policy, • Life milestone recognition & support, • The Pursuit of Happiness Fund devoted to helping Crossmedians find their happy (be it travel, enrichment class, fitness membership or professional development), • Cell phone/tech reimbursement, • Student Loan payment plan (US), • Tuition reimbursement, • Learning & Development and training programs, • And burgers – lots and lots of burgers COMMITMENT TO DIVERSITY AND INCLUSION Diversity is in our DNA. As a minority-owned company, our commitment to an inclusive environment has long been embedded into agency practices and at every level. Almost one third of senior leadership identifies as a person of color and over half of our executive leadership are women. We have active mentoring & internship programs that create opportunities for underrepresented groups. Internal agency programming is anchored by XMEquity365, a permanent, year-round initiative fostering acknowledgement and support of marginalized communities within five pillars – Excellence, Voices, Education, Giving & Representation. Crossmedia is committed to providing equal employment opportunities and creating a diverse and inclusive company culture and that does not discriminate against candidates and employees because of their disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other basis prohibited by applicable federal, state, or local law. All job requirements are subject to possible revision to reflect changes in the position requirements, business necessities and/or to reasonably accommodate individuals with disabilities. Essential and other job functions are subject to modification. This job description in no way states or implies that these are the only duties to which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with laws in the US and UK ). Continued employment remains on an "at-will" basis." Reasonable accommodations may be provided to enable individuals with disabilities to perform essential functions in compliance with the American with Disabilities Act of 1990 (US based) Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job: • Prolonged periods of sitting at a desk and working on a computer. Must be able to remain in a stationary position 50% of the time., • Ability to stand, bend, and reach, • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer., • The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.

Job DescriptionCompany Description AHRC New York City is a family governed organization that envisions a socially just world where the power of difference is embraced. We advocate for people who are neurodiverse to lead full and equitable lives. Generosity guides us as we honor our legacy and continuously grow through a culture where curiosity, creativity, and optimism are valued and celebrated. Job Description AHRC NYC is seeking a passionate Full-Time Job Coach to join their Employment Services Program in Queens. The Job Coach must be dedicated to supporting individuals with intellectual and developmental disabilities in achieving meaningful employment. The job coach initially spends 100% of the time with the individuals on the job site and then gradually spends less time on-site as the individual becomes proficient at the job. Pay Rate: $18-$23 per hour depending on education and experience...plus a comprehensive Benefit package. See Benefit information below. Schedule: 40 hours per week...schedule flexibility a must. Why work with us? • The reward of making a meaningful impact in the lives of individuals with disabilities., • Opportunities for personal and professional growth., • Provide training and support to workers with disabilities, to help ensure success in their job., • Teach, assist, and support new workers in their jobs using techniques such as demonstration of tasks, modeling, counseling, observation, and discussion., • Manage a caseload of 10-20 clients, frequent time spent at job sites., • Travel with our individuals from home to job sites., • Write detailed service notes after each session to monitor client progress and outcomes.Qualifications, • Minimum of one year of experience working with individuals with disabilities preferred., • Flexibility in work hours and ability to respond to the scheduling needs of the individual., • Direct Support Professional (DSP) experience, a plus, • Strong communication and relationship-building skills, including effective writing and oral communication skills., • Understanding of Person Centered Planning., • High school diploma or GED. Additional Information Benefits: • Full Medical Ins. Paid by Company at NO COST TO YOU! (Single & Family Plans), • Generous Paid time off (sick, personal & vacation), • Paid Training, • Dental insurance, • Vision insurance, • Tuition Reimbursement, • Referral program, • 403(b) retirement plan, • 403(b) company match, • Life insurance, • Employee discount, • Health savings account

Job Description Hi 👋🏾, I’m Abhik, Ashby’s Co-Founder and VP of Engineering. We’re looking for a great (former) engineer who built impressive products and now builds teams of great engineers. Ashby’s success and ambition mean we’re doubling the Engineering team in the next year, and we need your experience and leadership to do it thoughtfully. Our product and growth are exceptional. Ashby All-in-One is powerful, easy to use, and replaces several venture-backed companies' worth of products (often with a better experience). We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, very low churn, and many years of runway. A big part of our secret sauce is how we run Engineering. We achieve incredible speed and quality by discarding many industry norms and being optimistic about Engineers. We consider what makes exceptional Engineers exceptional, figure out how to hire them, and build an environment that gives them the freedom and agency to actually be exceptional. In other words, if engineers writing product specs, making product decisions, and not breaking down projects into individual tickets excites you, you’ve found the right place. As an Engineering Manager, you’ll work closely with me, Colin, and your peers to build out the team and continue scaling this unique culture. You’ll first do that through grassroots leadership. You’ll manage three to five Engineers and hire three to five more. They’ll cover multiple teams and a variety of specializations, from Product Engineers to Site Reliability Engineers to Design Engineers. Your day-to-day will include: * Providing feedback on product and technical specs to help engineers identify where to cut scope or improve quality. You don’t make the final decisions, but you’ll influence and coach ICs to reach the right ones. * Grow engineers to the point where they can take large, loosely defined projects and deliver them with little intervention. * Jump into our systems and code to debug a customer issue, ship a small bug fix, or improve our developer experience. Engineering leaders at Ashby are great engineers and enjoy keeping their skills up-to-date (while staying off the critical path). You’ll also propose and lead department and company-wide initiatives. Some examples: * Rethink how we (and the industry) do pull request reviews by aligning on goals with the team, sampling a set of PRs to understand how effective they are, and writing a proposal to the team about what we could change to speed up reviews while giving reviewers the time and space to give useful feedback. * Design and improve interviews based on candidate and team feedback. We pride ourselves on thoughtful interviews that simulate actually working with us! * Improve how we generate and simulate data in demo accounts. It’s a project off the critical path, but it helps you keep up-to-date on our codebase while immensely impacting the business, from Engineering to QA to Sales. I’ll share more details once we meet. What We’re Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Why You Shouldn’t Apply * You don’t enjoy coding or don’t find time to stay up-to-date on technology. We believe great leaders are folks who were great engineers themselves. That starts with loving the craft and never giving it up. * You follow the rules and accept the hand you’ve been dealt. We want folks with the ambition, courage, and follow-through to change things, whether it’s within their own team or across departments. * You went into management because it was the only growth path available. We want folks who could have been Principal engineers (or were one!). * You're happy with a team of engineers who are predominantly early-career or mid-career or don't thrive with ownership or autonomy. You believe that with enough guardrails, the team can get things done. * To you, a Staff or Principal Engineer is someone who spends most of their time project managing or conducting architecture reviews. You don’t believe staff and principal engineers could lead by the example they set or the leverage they create through their work. * You’re not optimistic or convinced that we can build a large engineering team that functions differently from the status quo. You think, at some size, common processes need to be implemented to ensure consistent product delivery (e.g., sprint planning, product managers writing in-depth specifications). You might not say it out loud, but you think, at some size, compromises have to be made for the sake of hiring numbers or consistency. Engineering Culture Our engineering culture is motivated by Benji’s (my Co-founder and CEO) and my belief that a small, talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through: * Minimal process with ownership over decisions normally made by product and design * Natural collaboration and deliberate communication * Investing in tools and abstractions that give us leverage * Putting effort into building a diverse team You’ll be an important part of figuring out how to scale these methods from 50 engineers to 100 and beyond. Minimal Process & Lots of Ownership The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Collaboration is Natural & Communication is Deliberate Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (I wrote about it here). To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years: We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. Increase Leverage, not Team Size We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: * Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾. * Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: Put Effort into Diversity Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. Interview Process This is an important role and our interview process reflects that both in challenge and length (5h 15m): * Introduction call with me (30m, live) * A technical screen where we pair in our actual codebase (1h, live) * An interview to explore your past experience as a leader (1h, live) * Interview with Colin, our Head of EMEA Engineering (45m, live) * Interview with Benji, our CEO (30m, live) * Final round where you meet Engineers and other Engineering Managers (90m, live) Depending on my bandwidth, we may start with an additional 30m screen with a recruiter. Near the end of the process, we’ll do reference checks. This is also an important decision for you, so I’m always happy to have coffee chats in person or over Zoom to get to know each other. If we don’t move forward, we’re happy to share feedback. Your First Six Months at Ashby Your first three months at Ashby will be spent learning about Ashby Engineering and easing into leadership. While most of your onboarding will be driven by a 6-month plan you put together (and refine over time), you’ll also ship some product changes and features. What better way to learn how ICs work than to be one! Don’t worry if you don’t know our technologies. The team is really helpful and our dev environment is pretty awesome: it sets up in a single script and you’ll be able to push your first product change on day one. You and I will do 30-day, 60-day, 90-day, and 6-month reviews to calibrate on our unique culture and how you, I, and the team will work together. Benefits * Competitive salary and equity. * 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable. * Unlimited PTO. * A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements. * Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! * $100/month education budget with more expensive items (like conferences) covered with manager approval. * If you’re in the US, we offer top-tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high-quality supplemental health insurance for you and your dependents, also fully covered by us. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Compensation Range: $200K - $275K

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. We're hiring a Senior Data Scientist to join our high-performing Advanced Analytics team, embedded within the Specialty Care group. This role will lead technical innovation to drive targeted outreach and scale Specialty Care utilization, leveraging diverse and novel data sources in close partnership with product, design, and engineering. The ideal candidate will thrive in ambiguity, bring strong analytical expertise, and drive rapid experimentation to surface actionable strategies that improve Specialty Care member engagement and health outcomes. This is a full-time, remote-eligible position, reporting into the Associate Director of Data Science under the CFO. What you'll do: • Lead Analytical Strategy for Specialty Care: Own the end-to-end analytical strategy to increase Specialty Care utilization. You will develop and apply advanced methods, including AI, predictive modeling, classification, and clustering, to identify and segment at-risk members for high-acuity conditions. Your work will directly influence product strategy, de-risk new initiatives, and drive measurable business outcomes., • Drive Rapid Experimentation and Outreach: Design and execute a rapid experimentation roadmap to test, validate, and scale targeted member outreach strategies. Some projects will require quasi-experimental approaches to measuring impact. You will analyze results to provide clear recommendations on which initiatives to pursue, shaping the core of the pod's data-driven approach., • Act as an Embedded Technical Leader: Serve as the dedicated data science lead within the Specialty Care product pod, partnering closely with product management and design to influence the team's roadmap, define success metrics, and ensure strategic decisions are grounded in rigorous analysis., • Incremental increase to Speciality Care utilization, • Number of at-risk members identified, • 5+ years of professional data science experience, • Hands-on experience with experimentation, hypothesis testing, and quasi-experimental methods., • Proficiency with SQL and Python, • Experience with data modeling via dbt or similar tools, • Experience working with data visualization and BI tools (e.g., Looker, Hex), • Facility with a product development process in the context of a software product, • Excellent verbal and written communication skills to guide and make recommendations to business partners, • Proven ability to incorporate AI as a tool to solve complex business problems; including experience with prompt engineering for LLMs, using AI for code optimization and documentation, and establishing best practices for using these tools across teams., • Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment, • Proven success at navigating ambiguous problem areas and learning new approaches, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.