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DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

Sr 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. New York, NY: $250,800 - $286,200 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 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, Credit Analytics Location: (NYC) Hybrid The Role This role will have exciting opportunity to learn and drive significant business results through optimizing our credit risk underwriting and pricing strategies. These strategies include, but not limited to, approval/decline, loan amount assignment, term, pricing, and risk appetite framework optimization to drive healthy revenue growth, loss mitigation, and streamlining of processes in support of better profitability and healthy lending portfolio. We are looking for new team members who are excited about creating, designing and implementing new and better solutions to our business challenges with limited supervision. This role will have chance to pull the data, conduct deep analysis and investigation, apply critical thinking skills, draw insights from their work and leverage general business acumen to understand the customer behavior and develop profitable business strategies in a timely and accurate manner. The successful candidate will be able to summarizes their work and communicates effectively to management. Working with various partners, the role will also have responsibilities of reporting, strategy implementation, strategy validation and ad-hoc analyses including customer segmentation, competitive analysis, sensitivity analysis and modeling, and performance read. A successful candidate will expand their competencies and grow their business and industry acumen, as well as demonstrate the ability to work on complex processes or projects across the end-to-end project cycle. They will gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry. Key Responsibilities: * Under your manager’s limited guidance, you will design, recommend, document and execute consumer credit underwriting and pricing strategies via extracting and analyzing requisite historical customer performance data from multiple disparate systems. * Utilize data query tools (i.e., R, SAS, SQL, MATLAB, Python) and decision tree analytical software to develop, test and execute new strategies. * Leverage traditional regression model and machine learning algorithm to understand the key drivers and estimate customer behaviors by different strategy treatment * Drive profitable business growth via developing strategy optimization framework with full credit-cycle view * Implement Quality Control processes to ensure data accuracy. * Continually enhance existing processes and reporting through automation, quality control, presentation and insights. * Effectively summarize and present results and insights to management. Qualifications: * Bachelor Degree (Graduate Preferred) in a quantitative discipline, such as Engineering, Statistics, Economics, Business Management or Computer Science is preferred. * 5+ years of experience in complex, data-driven problem solving. Master’s or PHD degrees may offset experience. Who we Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-time employees with: * Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances * Up to 4% matching 401(k) * Employee Stock Purchase Plan (10% share discount) * Tuition reimbursement * Paid time off (15 days vacation per year) * Paid sick leave as determined by state or local ordinance, prorated based on start date * Paid holidays (11 days per year, based on start date) * Paid volunteer time (3 days per year, prorated based on start date) Target base salary is $120,000-$160,000, which is based on various factors including skills and work experience.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

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. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 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 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).

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) 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: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 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 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).

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy. NTT DATA Services currently seeks a Security / Compliance Engineering to join our team in Jersey City, New Jersey. The position is for 12 months and ONSITE/HYBRID 4 days/week. MUST HAVE CLOUD SECURITY with AL/ML/LLM This role focuses on securing modern AI/ML systems, including LLM-based applications. You will design security architectures that protect data, models, and infrastructure from emerging threats specific to AI workloads. What You'll Do: • AI Security Architecture: Implement secure design patterns for ML pipelines, APIs, and model endpoints., • Threat Modeling: Identify and mitigate risks such as prompt injection, model inversion, data poisoning, and adversarial attacks., • Cloud Security: Enforce IAM, encryption, and network security across cloud platforms., • Compliance Implementation: Ensure systems meet GDPR, HIPAA, SOC 2, and other standards through automated controls and audits., • Monitoring & Response: Build logging and alerting systems for anomalous model behavior or unauthorized access. What You'll Bring: Basic Qualifications: • 7-10 years of experience in cyversecurity, preverably with exposure to ML systems Preferred Qualifications: • Background in cybersecurity with exposure to ML systems., • Experience securing cloud-native architectures., • Understanding of AI-specific vulnerabilities and mitigation strategies., • Familiarity with DevSecOps and infrastructure-as-code tools (Terraform). About NTT DATA Services: NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more. NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($77 hourly ). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits. #indist #li-northamerica

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

Senior Machine Learning Engineer (KServe + Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow) 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 deploy 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: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 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 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).

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously 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 deliver GenAI models and components that solve complex business problems, while working in collaboration with the Product and Data Science teams. * Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. * Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. * Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. * Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. * Retrain, maintain, and monitor models in production. * Construct optimized, scalable data pipelines to feed ML models. * 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, Go, 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, Go 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 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 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 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 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 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).

🚀 Applied Scientist (Machine Learning / Data Science) 📍 Remote (U.S.) | 🕒 3-Month Contract (Medical Leave Coverage) 💼 4–8 Years Experience IntePros is currently seeking an Applied Scientist to support a leading streaming/media organization (MGM+ environment). This is a high-impact, short-term contract focused on advancing data-driven decision making across content strategy, audience engagement, and subscriber growth. 🔍 What You’ll Be Doing • Evaluate and scope new data science initiatives that influence content acquisition, programming strategy, and subscriber growth, • Develop and enhance machine learning models for:, • Content recommendations, • Viewership prediction, • Subscriber behavior forecasting, • Campaign performance measurement, • Analyze streaming, audience, and social media data to generate actionable insights, • Perform customer cohort analysis to better understand user behavior and retention trends, • Partner cross-functionally with product, marketing, and content teams to drive data-backed decisions, • Bring innovative, algorithmic thinking to improve overall platform performance and user experience 🧠 What We’re Looking For • 4–8 years of experience in data science / applied science / machine learning, • Strong background in forecasting and predictive modeling (consumer behavior, engagement, etc.), • Experience with customer segmentation / cohort analysis, • Comfortable working in ambiguous, fast-moving environments, • Hands-on experience with:, • Python, • SQL, • ETL processes, • Excel (VBA a plus), • Generative AI tools and frameworks, • Experience working with large-scale datasets (streaming, behavioral, or product data preferred), • Media / entertainment industry experience is a strong plus 💡 Nice to Have • Exposure to recommendation systems, NLP, or predictive analytics, • Experience analyzing content performance or audience engagement metrics, • Familiarity with competitive intelligence or social sentiment analysis 📌 Why This Role? • Opportunity to work on cutting-edge ML applications in streaming/media, • Direct impact on content strategy and subscriber growth, • Fast-moving, high-visibility project with meaningful business outcomes

Job Title: Data Architect – BI Technology Location: Secaucus, NJ Department: IT, BI Technology Reports To: Manager, BI Technology W2 Contract Rate $55/hr on W2 Position Summary We are seeking a highly skilled Data Architect to lead the design, development, and optimization of our retail data ecosystem. This role will be instrumental in shaping our data strategy, enabling advanced analytics, and supporting business intelligence across finance, merchandising, supply chain, marketing, and customer experience domains. The ideal candidate will have deep expertise in cloud data platforms (Snowflake), data transformation tools (DBT), and business intelligence platforms like MicroStrategy, Power BI with a strong understanding of medallion architecture principles to support scalable and trusted data delivery. Key Responsibilities Architect and implement scalable, secure, and high-performance data solutions using Snowflake and DBT. Design and maintain a medallion architecture (Bronze, Silver, Gold layers) to support structured data ingestion, transformation, and consumption across the organization. Develop modular and reusable DBT models aligned with medallion layer principles to ensure data quality, lineage, and business logic consistency. Collaborate with business stakeholders to understand data requirements and translate them into technical solutions. Establish data governance practices including data quality, lineage, and metadata management. Optimize data pipelines for performance and cost-efficiency in a cloud-native environment. Direct experience with dimensional modeling (Star/Snowflake). Lead data integration efforts across internal systems (ERP, POS, CRM) and external sources (vendors, third-party APIs). Support and enhance reporting and analytics capabilities ensuring alignment with data architecture and semantic layer design. Ensure metric consistency across BI tools (MicroStrategy, Power BI). Mentor data engineers and analysts on best practices in data modeling, transformation, and documentation. Architect data solutions supporting core retail use cases including inventory optimization, sales performance, promotions, pricing, and omnichannel customer analytics. Stay current with emerging technologies and trends in data architecture and retail analytics. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. 5+ years of experience in data architecture or data engineering roles. Proven experience with Snowflake, DBT, and SQL. Strong understanding of ETL/ELT processes, data warehousing, and cloud data platforms. Experience designing and implementing medallion architecture in a modern data stack. Strong background in documenting historical processes and designing future workflow documentation. Hands-on experience with MicroStrategy, including schema design, dashboard development, and performance tuning. Familiarity with CI/CD pipelines, version control (Git), and agile development practices. Excellent communication and stakeholder management skills. Preferred Qualifications Experience with tools like Talend, Fivetran, Airflow, Looker, or Power BI. Knowledge of Python or dbt macros for advanced transformations. Advanced knowledge of Snowflake Data Engineering & Optimization. Understanding of data privacy regulations (e.g., GDPR, CCPA) and compliance in retail. Experience with real-time data streaming and event-driven architectures. Why Join Us? Be part of a data-driven transformation in a dynamic retail environment. Work with cutting-edge tools and cloud technologies. Collaborate with cross-functional teams to drive impactful business decisions. Competitive compensation, benefits, and career growth opportunities. About Cygnus Professionals, Inc. Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients. Cygnus Belief We believe in our commitment to diversity & inclusion. Equal Employment Opportunity Statement Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have valid work authorization. For further information about CYGNUS, please visit our website ___

Who You Are: The Tableau Developer is a key member of the Data & Analytics team reporting to Director of BI. This role is responsible for designing, developing, and maintaining interactive dashboards and reports using Tableau to support business decision-making. This role partners business stakeholders, data engineers, and analysts to translate complex data into intuitive visual insights while ensuring performance, data accuracy, and best visualization practices. The role will follow Tableau best practices for visualization design, naming conventions, and documentation while also maintaining version control and promoting content across environments (Dev / Test / Prod) On Tableau Cloud. What You'll Do: • Design and develop interactive Tableau dashboards and reports that clearly communicate key business metrics and trends., • Translate business requirements into effective data visualizations using best practices in visual analytics., • Optimize dashboards for performance, scalability, and usability., • Connect Tableau to multiple data sources (e.g., SQL databases, data warehouses, cloud platforms, Excel, APIs)., • Create and maintain data models, joins, calculations, parameters, and filters., • Perform data validation and reconciliation to ensure accuracy and consistency., • Work closely with stakeholders to gather requirements and understand reporting needs., • Provide data-driven insights and recommendations to support strategic and operational decisions., • Conduct user training and enablement sessions when needed., • Monitor dashboard usage and performance., • Troubleshoot data issues, refresh failures, and user access problems., • Enhance and maintain existing dashboards as business needs evolve. You'll Need To Have: • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field., • 5+ years of Tableau development experience., • Solid understanding of SQL for data querying and validation., • Experience working with relational databases and data warehouses (e.g., Snowflake, Redshift, SQL Server, Oracle)., • Strong knowledge of calculated fields, LOD expressions, table calculations, and parameters., • Strong analytical mindset with attention to detail., • Ability to interpret data and explain insights clearly to non-technical audiences., • Understanding data modeling concepts (facts, dimensions, star schema)., • Excellent communication and stakeholder management skills., • Ability to gather requirements and translate them into technical solutions., • Strong problem-solving and time management skills. We'd Love To See: • Experience with Tableau Cloud administration., • Knowledge of ETL tools like Talend or AWS Glue., • Experience with Python or R for advanced analytics., • Familiarity with Agile / Scrum methodologies., • Tableau certification (Desktop Specialist, Certified Data Analyst, etc.). Capri Perks: • Generous Holiday Schedule & Vacation Days, • Internal mobility across Capri Brands (Michael Kors, Jimmy Choo, Versace), • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program (seasonal in-office massages and more!), • Commuter Benefits, • Gym Discounts CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success. The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

Reports to: CMO (Americas) Direct reports: 1 Brands: multi-brand portfolio (mass beauty) Location: NY, NY MCoBeauty & Nude by Nature Expands Across the US, with a New Office in the Heart of NYC! MCoBeauty & Nude by Nature, one of Australia’s largest beauty brands, has officially launched in the United States and is rapidly scaling across major mass retail channels. With our US headquarters in Rockefeller Center, NYC, we are accelerating distribution nationwide — bringing high-quality, affordable beauty to leading retailers. As we continue to expand across the US mass market landscape, we are seeking a commercially minded supply chain leader to drive customer excellence, distribution efficiency, and operational performance. Position Overview We are seeking a strategic, analytically rigorous Marketing Director to partner closely with the CMO in anchoring the long-term marketing vision across two high-growth beauty brands. This role sits at the intersection of brand strategy, channel strategy, commercial partnership, financial discipline, and performance analytics. The ideal candidate is equal parts brand thinker and operator — someone who can translate creative ambition into measurable business impact. You will help architect the annual masterplan, optimize the marketing mix, manage budgets, and build reporting frameworks that ensure every initiative drives brand equity and profitable growth. Key Responsibilities 1. Brand & Growth Strategy • Partner with CMO to codify and evolve multi-year brand strategy across two brands, • Translate vision into actionable annual and quarterly marketing masterplans, • Ensure cultural campaigns, launches, and retail moments ladder into long-term brand positioning, • Identify whitespace opportunities, portfolio expansion, and innovation pipelines 2. Channel & Marketing Mix Strategy • Own full-funnel channel strategy (earned, owned, paid, experiential, creator, retail), • Develop marketing mix models to guide investment allocation, • Optimize spend across channels to drive engagement, traffic, sell-through, and brand heat, • Align brand storytelling with retail and e-commerce growth objectives 3. Budget Ownership & Financial Rigor • Own annual marketing budget planning across both brands, • Forecast, track, and optimize spend vs. performance, • Identify efficiencies and reallocation opportunities without compromising momentum, • Partner with Finance to ensure clear ROI measurement and reporting cadence 4. Data, Analytics & Reporting • Build and lead centralized marketing performance dashboards, • Establish KPIs across brand, engagement, traffic, retail sell-through, and ROAS, • Translate complex data into clear executive narratives, • Oversee post-campaign recaps with actionable optimization insights, • Champion a test-and-learn culture rooted in performance accountability 5. Commercial Partnership & Retail Alignment • Partner with Sales and Commercial teams to align marketing with retail priorities, • Support key account planning (Target, Walmart, Grocery, etc.), • Ensure campaigns and activations support sell-in, sell-through, and distribution expansion 6. Organizational Leadership • Act as strategic backbone to the CMO and marketing leadership team, • Ensure campaign R&Rs, timelines, and deliverables are clearly defined, • Help align brand, social, influencer, and trade marketing into a cohesive engine, • Mentor and develop junior strategy/analytics talent What Success Looks Like • Clear, disciplined annual masterplan across two brands, • Marketing mix optimized to improve CPE, ROAS, and sell-through, • Transparent, executive-ready reporting that informs real-time decision making, • Strong commercial alignment between marketing and retail growth, • Creative ambition grounded in measurable business impact Ideal Candidate Profile • 8–12+ years in brand strategy, growth marketing, or marketing analytics, • Experience in beauty, CPG, or high-growth consumer brands preferred, • Strong financial acumen (budget management, forecasting, ROI modeling), • Deep understanding of omnichannel marketing and retail ecosystems, • Comfortable partnering with commercial/sales teams, • Proven ability to influence cross-functional stakeholders, • Strategic thinker who can zoom out — and disciplined enough to execute About DBG Health & VidaCorp DBG Health, Australia's largest independent health, wellness, and beauty company, is headquartered in Melbourne and supported by a team of over 1,000 dedicated professionals. We are committed to delivering affordable and innovative solutions that enhance customer well-being. As a prominent player in pharmaceuticals, consumer goods, beauty, health, and wellness, DBG Health is now poised for significant global expansion. Our efforts to enter new markets underscore our dedication to broadening our reach and impact. This strategic growth reinforces our position as a global leader in our industry and highlights our commitment to providing innovative and accessible solutions worldwide. DBG Health is committed to fostering a workplace culture that is safe, diverse, inclusive, and accessible for everyone. As a global employer, we aspire to build a workplace to reflect the diverse communities we serve around the world. We are dedicated to providing equal opportunities and we welcome applicants of all backgrounds, identities and experiences. We strive to build a collaborative and inclusive environments, where employees feel supported, respected and empowered to succeed. • Should you require reasonable adjustments through the recruitment process, please let us know in your application. We will collaborate closely with you to meet your needs and provide appropriate support.

Position Overview The Strategic Sourcing Manager will lead the development and execution of global sourcing strategies across categories. This role is responsible for optimizing vendor partnerships, driving cost efficiencies, and ensuring high-quality, on-time production in a fast-paced fashion environment. You will collaborate cross-functionally with design, merchandising, product development, sales, and supply chain teams to deliver trend-right product aligned with margin and calendar targets. This role will be supporting the needs of the VP of Sourcing & Product Development on day to day needs surrounding sourcing. Strategic Sourcing & Supply Chain • Develop and execute global sourcing strategies across multiple apparel categories, • Balance cost, quality, speed-to-market across regions, • Monitor geopolitical, trade, and market trends impacting sourcing decisions such as monitoring currency rates & yarn prices, • Drive vendor diversification based on business needs, • Maintain and update pricing libraries and historical cost references., • Support pricing analysis by preparing comparisons and summaries for new developments and seasonal updates. Vendor & Factory Management • Build long-term partnerships that can help with sourcing strategies, • Lead supplier negotiations for pricing, capacity, and contract terms, • Conduct regular business reviews and implement continuous improvement plans Costing & Margin Optimization • Lead cost engineering initiatives (fabric, trims, labor, logistics), • Negotiate pricing and analyze cost breakdowns to meet margin targets, • Identify cost-saving opportunities and improve total cost of ownership, • Partner with merchandising and sales on seasonal costing strategies, • Creatively work on seeing the line big picture to look for cost savings ex: using same fabrics across multiple brands etc. Product Development & Execution • Support sampling, prototyping, and production readiness, • Manage timelines to meet seasonal calendars and delivery deadlines Key Skills • Strategic thinking & problem-solving, • Supplier relationship management, • Negotiation & influencing, • Cross-functional collaboration, • Data analysis & cost modeling, • 3-4 years of experience in sourcing, costing, or production coordination within apparel or retail preferred., • Strong attention to detail with basic analytical and mathematical skills for cost calculations., • Proficiency in Excel or Google Sheets for data entry, tracking, and reporting., • Clear written and verbal communication skills for coordination with factories and internal teams. The salary range for this New York based role is $90,000 to $110,000. Base salaries are determined during the interview process by evaluating a candidate’s experience, skills, and alignment with internal peers, as well as the scope and responsibilities of the position.

Summer Intern – Strategy & Transformation Location: New York, NY Department: Strategy Reports To: SVP Strategy & Transformation About G-III Apparel Group: G-III excels at bringing excitement and confidence to customers through the fashion we create. We are global experts in design, sourcing, manufacturing, distribution and marketing, which enables us to fuel the growth of a substantial portfolio of brands. With more than 30 licensed and owned brands, including some of the most sought-after names in global fashion, our success is driven by our team’s entrepreneurial spirit and our deep relationships across the industry. Position Summary: We are seeking a highly motivated and detail-oriented Summer Intern – Strategy & Transformation to join our Strategy team. This role will play a critical part in supporting the development and execution of G-III’s strategic initiatives and enterprise-wide transformation efforts. The intern will collaborate with senior leadership to help shape long-term corporate, brand, and market strategies while conducting in-depth financial and business analyses. The ideal candidate is highly analytical, detail-oriented, and passionate about strategy, innovation, and operational excellence. Key Responsibilities: • Conduct market and consumer competitive analysis., • Support the development of long-term strategic and operating plans, including valuation models and enterprise-wide prioritization of initiatives, • Conduct market, consumer, and competitor analyses to inform strategic decision-making, • Support transformation initiatives aimed at enhancing global business growth and efficiency, • Assist with due diligence, financial modeling, and valuation for potential investments, • Support initiatives that drive innovation, expand market reach, and enhance organizational effectiveness, • Assist in developing presentations for the board of directors, senior management, and external stakeholders, • Provide insights and updates on corporate strategy, transactions, and key business initiatives Who You Are: • A team player who collaborates easily and supports others, • A strategic thinker who sees the big picture and plans ahead, • A fast learner who adapts quickly and embraces new challenges, • A strong communicator who can clearly express ideas and listen actively, • A self-starter who takes initiative and drives work forward Qualifications: • Currently pursuing a Bachelor’s degree in Business, Finance, Economics, Statistics, Mathematics, or a related field, • Prior internship or relevant academic experience in strategy, finance, consulting, or corporate development preferred, • Strong analytical, financial modeling, and problem-solving skills, • Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Outlook), • Experience with data management, analysis tools, or business intelligence platforms preferred, • Excellent organizational and time management skills, • Strong interpersonal and written/verbal communication skills What We Offer: • Competitive salary, • Company holidays (as applicable), • Summer Fridays The pay range for this position is: $21 per hour. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.

Job Title: Merchandiser, E-Commerce Location: New York, NY (On-Site) Department: Wholesale / E-Commerce Reports To: Director, Wholesale About G-III Apparel Group: G-III excels at bringing excitement and confidence to customers through the fashion we create. We are global experts in design, sourcing, manufacturing, distribution and marketing, which enables us to fuel the growth of a substantial portfolio of brands. With more than 30 licensed and owned brands, including some of the most sought-after names in global fashion, our success is driven by our team’s entrepreneurial spirit and our deep relationships across the industry. Position Summary: We are seeking a highly motivated and detail-oriented Merchandiser, E-Commerce to join our Wholesale team. This role will play a critical part in supporting seasonal merchandise strategies to accelerate eCommerce growth with key accounts, with a particular emphasis on Amazon. The ideal candidate will have strong analytical skills, experience working with large data sets, and the ability to translate insights into actionable merchandising strategies that drive revenue and profitability. Key Responsibilities: • Aggregate and analyze data across multiple brands and reporting systems to support eCommerce strategy, • Manage eCommerce roll-up reporting and presentations for internal stakeholders, • Assist in developing training materials for new and existing reporting tools, • Support development and syndication of best practice playbooks across teams, • Develop easy-to-use templates to collect key inputs and translate reporting data into actionable insights, • Provide regular updates to stakeholders on business performance and strategic initiatives, • Own relationships with Vendor Managers and SVS to negotiate sales-driving initiatives including marketing, merchandising, and shipment terms, • Partner with Supply Chain and Vendor Management teams to manage SKU updates and maintain an accurate Amazon SKU catalog, • Work with Wholesale leadership and Finance to support monthly sales planning, A&P budgeting, and trend forecasting, • Develop promotional strategies for VPCs, deals, and major retail events including Prime Day and Cyber Monday, • Collaborate with Demand Planning to review weekly forecasts and align with current business trends and initiatives, • Manage seasonal development calendars, team meetings, and project deadlines, • Analyze sales performance, customer feedback, and historical data to inform future assortments, • Monitor competitive landscape and identify new trends and opportunities for growth, • Manage seasonal buy hindsight analyses to understand channel-specific opportunities, • Serve as business owner for assigned categories, overseeing forecasting, monitoring performance, and driving initiatives to achieve objectives, • Conduct financial analysis to support revenue growth and profitability targets, • Implement, track, and optimize digital marketing strategies tied to merchandising initiatives, • Proactively monitor inventory levels and resolve low or out-of-stock conditions Who You Are: • A team player who collaborates effectively across departments, • A strategic thinker who uses data and insights to drive business decisions, • A strong communicator who can clearly present insights and recommendations, • A self-starter who takes initiative and ownership of business performance, • Highly organized and detail-oriented, • Comfortable working in a fast-paced, deadline-driven environment Qualifications: • Bachelor’s degree in Business, Marketing, Merchandising, or related field (or equivalent experience), • Minimum 4 years of experience in eCommerce, sales, marketing, merchandising, or customer account management, • Advanced proficiency in Microsoft Excel, including data analysis and modeling, • Proficiency in Microsoft Word and PowerPoint with the ability to create high-impact presentations, • Strong analytical, strategic planning, and problem-solving skills, • Excellent interpersonal, communication, negotiation, and leadership skills, • Ability to manage multiple priorities and projects simultaneously, • Detail-oriented with strong project management capabilities, • Ability to work independently and collaboratively across cross-functional teams Preferred Qualifications: • Experience working within cross-functional organizational structures, • Experience with Amazon Premium Analytics, • Experience with Amazon Vendor Central, • Experience in merchandising or a related retail environment What We Offer: • Competitive salary, • Comprehensive benefits including medical, dental, vision, and 401(k), • PTO and company holidays, • Employee discounts The pay range for this position is: $90,000 – $100,000 per year. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.

Business Analyst, Data Insights G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Business Analyst, Data Insights will act as a high-visibility strategic partner and primary liaison between our business departments and the Data Insights team. Reporting to the VP Data Insights, you will bridge the gap between technical complexity and fashion-forward business growth by managing requests, troubleshooting operational issues, and delivering actionable insights that influence our global strategy. Key Responsibilities • Strategic Liaison & Support: Act as primary point of contact for business units (Sales, Production, IT, Finance, Marketing, Ecommerce), managing change requests and troubleshooting daily data challenges, • Insight Generation & Root-Cause Analysis: Analyze complex data to identify trends and perform deep-dives to explain the “why” behind performance shifts, providing clear visibility to leadership, • Workflow & Requirements Documentation: Build deep content knowledge on how business users interact with data. Document high-level workflows and translate them into clear, actionable technical requirements, • Solution Development & Validation: Define and validate transformation logic for reporting and analytics. Partner in the development process to ensure proposed solutions address core business needs, • Testing & Implementation: Develop and facilitate user acceptance testing (UAT) plans. Provide end-user training to support successful implementation and adoption across the brand., • Process & Governance: Proactively identify data quality issues and recommend sustainable solutions that align with established data governance standards., • Executive Readiness: Prepare data visualizations and “executive-ready” briefing materials for the VP to present to senior leadership. Qualifications Required: • Bachelor’s degree in Business, Economics, Finance, Computer Science, or a related field, • 3+ years of Business Analyst experience, ideally within the Retail, Fashion or IT sectors, • Proficiency in Data Visualization and BI Design using Power BI, • Experience supporting operations across wholesale, retail, and eCommerce channels, with an understanding of multi-channel business dynamics, • Experience with Azure platform, • Solid understanding of Data Modeling, dashboard optimization, and transformation logic, • Strong ability to document business processes and translate messy data into structured insights, • Ability to build strong relationships and bring about cooperation from cross-functional teams and technical stakeholders, • Agility to manage multiple priorities in a fast-paced environment Preferred: • Proficiency in SQL for data extraction and familiarity with Python or R for automation, • Understanding of industry-specific KPIs like sell-through, inventory turn, or e-commerce metrics, • Experience building “what-if” models to help evaluate the impact of business or vendor changes What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $90,000 - $100,000 (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

The Senior Manager, Paid Media will play a critical role in driving customer acquisition and revenue growth across Marc Fisher’s portfolio of eCommerce brands. This is a highly tactical, hands-on role responsible for developing, executing, and optimizing full-funnel paid media campaigns across channels including search, social, display, video, and affiliate. Working in close partnership with the eCommerce, performance marketing, and creative teams, this role ensures campaigns are effective, efficient, and aligned with brand and business goals. The ideal candidate is data-driven, detail-oriented, and comfortable managing multiple campaigns at once in a fast-paced, high-growth environment. This role reports to the Director of Ecommerce Marketing and will be based out of our New York City office, currently on a hybrid schedule – 3 days in office/2 days remote. Key Responsibilities: • Serve as the tactical point of contact for our paid media agency, holding them accountable for KPIs through daily performance audits, strategic steering, and rigorous budget management., • Deep-dive into attribution modeling, MMM (Marketing Mix Modeling), iROAS and LTV/CAC ratios to provide a holistic view of marketing efficiency. You won't just report numbers; you will provide the "why" behind performance shifts., • Align with business and brand goals, clearling communicating needs and learnings., • Continuously monitor MER, CTR, CVR, iROAS, and CPA across Google, Meta, and emerging platforms, identifying "leaks" in the funnel and directing the agency to pivot strategy in real-time., • Design and oversee a robust A/B testing roadmap for creative, audience targeting, and landing pages to drive incremental growth., • Manage agency to budgets, aligned with goals ensuring next dollar spent drives to KPIs., • Stay current on AI and digital trends, platform updates, and new advertising formats—bringing forward test-and-learn opportunities for continuous improvement., • Prepare and deliver weekly, monthly, and post-campaign performance reports with insights and actionable recommendations. Qualifications: • 5–7 years of hands-on experience in paid media strategy and execution (brand or agency side)., • Deep platform expertise in Meta Ads Manager, Google Ads (Search & YouTube), Pinterest, TikTok, and affiliate networks., • Strong analytical skills with the ability to interpret data and optimize performance., • Demonstrated ability to manage large budgets and scale performance campaigns effectively., • Experience with D2C eCommerce preferred agency experience is a bonus., • Ability to thrive in a fast-paced, cross-functional environment and manage multiple projects simultaneously., • Strong verbal and written communication skills with attention to detail., • Proficient in Excel/Google Sheets and familiar with tools such as Google Analytics, Looker, or other performance dashboards., • Self-starter with a growth mindset and a strong sense of accountability., • Excellent organizational and follow-through skills., • Curious and proactive in exploring new opportunities to drive results., • Collaborative team player who can clearly communicate across departments and with external partners. Benefits Include: • Comprehensive Medical, Dental & Vision offerings, • 401k Plan with company match, • 15+ Paid Holidays, • Summer Fridays, • 15 PTO days, • Company paid life insurance at 2x salary, • Employee Discount, • Commuter & Medical/Dependent Flex Spending Benefits, • Pet Insurance, • Salary range $110,000 - $130,000, based on experience Company Overview: Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Kenneth Cole Men's, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD. Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels. Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

Our client, a fashion brand, is looking for a Planner to join their Men's Planning team in NY. Essential Functions: • Develop and manage seasonal and annual financial plans (sales, margin, inventory) for Men’s Apparel & Accessories, • Partner with Merchandising to build assortment strategies aligned with financial targets, • Analyze historical performance and current trends to forecast demand at category and SKU level, • Identify risks and opportunities, making actionable recommendations to drive business performance, • Manage OTB (Open-to-Buy) and ensure alignment with sales and inventory goals, • Monitor weekly business performance, including sales, sell-through, WOS, and margin, • Collaborate with Allocation to optimize inventory flow and in-season replenishment strategies, • Lead markdown strategies and promotional planning to maximize profitability, • Drive inventory productivity through effective lifecycle management, • Prepare and present weekly, monthly, and seasonal recaps to leadership Qualifications: • 4–7+ years of experience in retail planning, merchandising, or financial planning (apparel preferred), • Strong analytical skills with advanced Excel proficiency (pivot tables, VLOOKUP, financial modeling), • Experience with retail planning systems (e.g., Aptos, JDA, Oracle Retail, or similar), • Solid understanding of retail math (sales, margin, turn, WOS, OTB), • Ability to synthesize data into clear insights and recommendations, • Strong communication and presentation skills, • Highly organized with the ability to manage multiple priorities Please submit your resume for consideration! You can use WorkGrades to collect and manage your references for free and share them with us or anyone else you choose by visiting workgrades.com/home/candidate. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.

Director, Product Cost Analyst Reports to: SVP Team: Leads 6 Costing Analysts Role Purpose The Director, Product Cost Analyst is a senior-level financial and operational leader responsible for cost governance across the children’s apparel portfolio (newborn through big kids). Own divisional product costing integrity from BOM accuracy through landed cost and deliver sustained margin improvement via yield optimization, design-to-cost, and sourcing/geo-mix scenarios. Partner with Merchandising, Sourcing, Finance, and Technical Design to meet or beat divisional IMU/GM targets while protecting brand standards. Key Responsibilities 1. Cost Governance & Data Integrity • Own BOM accuracy in PLM: maintain materials, yields, trims, and consumption assumptions with strict revision control., • Maintain standard and landed costs in ERP; reconcile to POs and actuals; drive data quality controls and exception alerts., • Standardize divisional costing methods, calendars, and review checklists across assigned kidswear categories. 2. Seasonal Costing & Variance Control • Lead seasonal pre-cost and final cost cycles; reconcile season-over-season and year-over-year variances and quantify drivers., • Publish regular BI dashboards covering IMU vs. target, cost deltas, PPV, and exceptions., • Maintain a clean historical cost library for negotiation leverage and hindsight reviews. 3. Scenario Modeling & Margin Architecture • Run fast what-if models on fabric substitutions, feature changes, pack changes, MOQ/MCQ impacts, and sourcing shifts., • Execute FX and duty sensitivity analyses and country-of-origin switch scenarios; brief leadership on cost outlooks., • Provide FOB and landed-cost inputs and IMU guardrails to inform merchant pricing decisions; no ownership of MSRP. 4. Yield, Marker Efficiency & Product Engineering • Drive marker efficiency and yield improvement in partnership with Technical Design and Cutting teams., • Lead cost-down initiatives including consumption optimization, construction simplification, and vendor consolidation with quantified annualized savings. 5. Cross-Functional Decision Support • Chair divisional margin reviews and present trade-offs for VP/SVP approval at key calendar milestones., • Partner with Sourcing on fact-based should-costs; Sourcing retains factory negotiation ownership., • Identify and communicate risk related to duty changes, freight volatility, and commodity shifts with mitigation plans. 6. People Leadership • Manage, coach, and develop a team of analysts; build skills in consumption modeling, tariff modeling, and analytics., • Establish performance metrics for cost accuracy, cycle time, savings delivery, and data quality. Qualifications • 7-10 years of apparel product costing or sourcing finance experience; 3–5 years leading teams in high-volume apparel., • Bachelor’s degree in Finance, Accounting, Industrial Engineering, or Textile Engineering., • CPA, CMA, or Lean Six Sigma certification a plus., • Strong systems capability across PLM, ERP, advanced Excel, and BI tools., • Demonstrated fluency in IMU/GM math, FOB and landed-cost calculations, and consumption mechanics., • Willingness to travel 10–20% to mills and factories. Technical Skills • Advanced Excel proficiency, • Complex pivot tables and reporting, • Advanced formulas (V-Lookup, x-lookup), • Data validation and error checking controls, • Overall strong data validation skills

Our client, a popular fashion brand, is seeking a Compensation Analyst to join their team in Jersey City on a contract basis! Responsibilities: • Develop, administer, and ensure compliance of compensation programs including analytical support for executive, salaried and hourly employees for corporate, retail and distribution center employees., • Partner with the Talent Operations team on the administration of compensation changes, equity program, annual merit/promotion cycles, and variable compensation programs., • Conduct market pricing using external surveys and internal data to benchmark against competitors and inform pay recommendations., • Support in the advisement of Talent Business Partners, managers, and leaders on compensation matters, such as new hire offers, promotions, and policy interpretation., • Evaluate job architecture for continued alignment to the business and marketplace., • Classify jobs and assist in creating or updating job family descriptions and job levelling framework., • Perform internal pay equity and fairness analyses to ensure consistency across the organization., • Analyze compensation programs for effectiveness, cost impact, and legal and regulatory compliance., • Generate reports, conduct trend analysis, and provide data-driven recommendations to support compensation decisions., • Collaborate with the team to provide systems expertise and support to key stakeholders with Workday., • Perform error handling and diagnose Workday identify data issues, including fixing employee records. Qualifications: • Education: a bachelor's degree in Human Resources, Business, Finance or a related field., • Experience: 3+ years of experience in compensation, with experience in a large multinational organization and working with various employee types (salaried, hourly, etc.), • Strong proficiency in Excel for complex modeling, logic statements, and lookups., • Familiarity with HR software, compensation management tools - Workday Advanced Compensation experience is an asset, • Familiarity with equity software and experience with equity administration a plus Please submit your resume to be considered. You can use WorkGrades to collect and manage your references for free and share them with us or anyone else you choose by visiting workgrades.com/home/candidate. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.

Senior Vice President, Model Risk Validation At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We are seeking a future team member for the role of SENIOR VICE PRESIDENT to join our MODEL RISK MANAGEMENT team. This role is located in NEW YORK. In this role, you may work in one of five disciplines, each responsible for a different type of modelling: 1. Credit Risk Modeling, 2) Treasury Modeling, 3) Market Risk Modeling, 4) Pricing Modeling, 5) Forecasting, 6) AI • Lead teams responsible for model validation, risk assessment, and compliance with regulatory requirements., • Ensure effective processes and controls for prompt risk identification, assessment, mitigation, and tracking of issues related to model risk., • Behave ethically and adhere to BNY’s standards, including the Code of Conduct and applicable policies., • Conduct independent testing and analysis of model performance, assumptions, and limitations., • Document validation findings and communicate results to stakeholders., • Demonstrate ownership and accountability for managing model risk holistically, engaging proactively with control functions., • Serve as a role model in creating and sustaining a strong risk culture and support the development of team members., • Master's Degree or PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, econometrics., • The candidate must have a superb quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation, and communications skills., • Minimum 5 years (5 - 7 preferred) of modeling experience in financial services., • Must have experience with complex quantitative modelling, numerical analysis, and computational methods using programming languages (such as C/C++, C#, Java, FORTRAN, MATLAB, SAS) as well as mathematical/statistical software packages. At BNY, our culture speaks for itself, check out the latest BNY news at: Here are a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies,” Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $102,000 and $171,500 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Senior Associate to join our Corporate Treasury team. This role is located in New York, NY. We’re seeking a strategic builder to join our Corporate Treasury team as a Senior Associate focused on process innovation and AI enablement. This is a high-impact, individual contributor role for someone who thrives at the intersection of data, technology, and transformation—and is energized by the opportunity to shape how a global Treasury function operates at scale. You don’t need to be a Treasury expert—but you do need to be a systems thinker who can reimagine how we operate, scale platform strategy, and deliver measurable outcomes through experimentation, influence, and execution. In this role, you’ll make an impact in the following ways: • Reimagining and improving Treasury processes through automation, AI, and data-driven design—balancing innovation with risk awareness, • Developing solutions using Python, SQL, and data modeling to drive measurable outcomes, • Supporting the rollout of AI initiatives (e.g., prompt engineering, agent design, curated datasets), • Collaborating across Finance, Technology, and Risk to deliver scalable, compliant solutions that align with enterprise architecture and data governance, • Reducing operational risk through intelligent automation and process redesign To be successful in this role, we’re seeking the following: • 4+ years of experience in data-driven roles (e.g., analytics, product, operations, or engineering), with hands-on use of Python and SQL for automation and analytics, • Familiar with data modeling and AI concepts (prompting, agents, LLMs), • Comfortable navigating ambiguity and driving clarity through experimentation, • A collaborative communicator who can influence across functions, translate technical ideas for business stakeholders, and drive alignment, • Passionate about platform thinking, process transformation, and driving change, • Backgrounds in finance, consulting, product, or platform strategy are welcome—but not required. We value curiosity, adaptability, and the ability to drive change in complex environments. At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $66,500 and $101,750 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

Vice President, Financial Model Risk Auditor At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, Auditor to join our Model Risk Audit Team within Internal Audit. This role is located in New York City, NY. In this role, you’ll make an impact in the following ways: • Performing high quality, risk-focused audit testing, in accordance with Internal Audit policies, methodologies, and standards in order to identify meaningful issues, risks and other exposures related to model risk in Finance’s Corporate Treasury functions, and Risk Management areas focusing on the Enterprise-wide management of Market Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Financial Crime Compliance (BSA / AML, and Artificial Intelligence / Machine Learning, and model governance., • Tests model development and model validation processes as per the Supervisory Guidance on Model Risk Management and the Bank’s Model Risk Management policies, standards, and procedures., • Operates as a team member or independently and has responsibility for specific procedures and results (i.e., head of a project relating to an audit, audit project, or model auditor). Ensures testing (or other tasks as applicable to a specialty) is adequately thorough and accurate to allow an evaluation of the adherence to company policies and procedures, audit methodologies, and all applicable regulations. Identifies existing and emerging risk/ control themes., • Prepare draft audit reports and follow-up of audit actions to ensure corrective actions have been appropriately implemented., • Learns new businesses, processes and regulations., • Work with other audit team members to mentor, guide and collaborate., • Work on projects of great complexity that involves significant understanding of the regulatory requirements, business models and processes for each assignment., • Maintain up to date knowledge of industry best practice and regulatory requirements., • Carry out other ad-hoc tasks and projects as directed by audit senior management., • Represent Internal Audit on projects and at management meetings., • Advanced degree (Masters or PhD) in Math, Statistics, Physics, Economics or other quantitative fields are required (PhD is preferred)., • Strong quantitative and analytical background coupled with strong theoretical foundation and good communication skills preferred., • 5+ years working experience in model development, model validation, or model audit in the risk area such as Market Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Financial Crime Compliance, Artificial Intelligence / Machine Learning, stress testing, and capital planning., • The position requires special skills (e.g. mathematical, statistical, quantitative, economic, and business knowledge and modeling experience)., • Proficient with programming languages used for model development and validation, such as Matlab, R, C, Python, etc.; Additional core skill requirements include understanding of the applied and interpretation of analytics results for Audit, critical thinking and problem solving At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $100,000 and $160,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensatio

Description We are seeking a Lead Transmission Line Engineer who will manage a collaborative and dynamic team working in a fast-paced environment, solving challenging problems involved with electric transmission. The successful candidate will serve as a Lead Engineer and Technical Project Manager on high voltage electric transmission line design projects of overhead and underground systems for some of the largest utilities in the country as well as regional utilities. The candidate will apply NESC, ASCE, ACI, NEC, and other applicable standards in the engineering and design of all types of capital and maintenance projects from 34.5 kV to 765 kV. Additionally, the candidate will direct a team of engineers that regularly perform engineering analyses, PLS-CADD modeling, structure loading calculations, foundation design using MFAD and/or LPILE, design structure framing and hardware assemblies, draft plans and specifications, and prepare bill of materials and procurement documents across project planning, engineering, environmental, permitting, and construction management phases. The successful candidate can expect a fast-paced, diverse work environment and flexible work hours/work arrangements as well as a manager and peers who will encourage career development and growth! In addition, the successful candidate will be involved in applying AI, automation, and digital design platforms to streamline grid modernization and increase design efficiency. This is a senior leadership role with primary responsibilities in client relations, staff management, proposal development, scope creation/change, project execution, and new business capture for the team’s full book of work. The successful candidate will be able to communicate clear expectations, goals, and vision; manage the performance of direct reports; motivate, coach, and mentor skilled professionals; and appropriately delegate project work. The candidate must be capable of managing collaboration and a positive team culture to achieve successful results. Location: This position is a hybrid work position with the potential for remote work for the right candidate located in Pennsylvania, Ohio, or West Virginia. Relocation assistance may be available for qualified candidates. The Challenge: • Direct multiple design teams simultaneously executing various projects and programs for multiple clients., • Develop a team of engineers by training, coaching, and nurturing Leidos’ engineering talent., • Supervise staff by approving timesheets and running the annual performance review process., • Participate proactively as a member of the leadership team of the Transmission Line Section., • Create responses to RFPs, RFIs, and RFQs from clients for new work, including proposal creation and definition of scope of work., • Possess a growth mindset to foster creative problem solving for our clients’ most complex issues., • Promote continuous improvement to develop streamlined processes and tools that facilitate improvements to departmental technical resources via innovation and automation., • Delegate tasks to staff, forecast and plan their future workload, and run recruiting activities to support aggressive growth goals., • Drive the quality control process for the execution team to ensure the highest level of quality in all deliverables., • Liaise with clients to maximize affinity, facilitate business development growth, and foster long-term relationship building., • Manage portfolio health by leveraging Project Managers to independently drive and monitor scope, schedule, and budget. Accountability for schedule compliance requires high awareness and support from assigned Lead Engineers. What Sets You Apart (Required): • Bachelor’s degree in Civil, preferred, or Mechanical Engineering with eight plus (8+) years of relevant experience in the design of high voltage electric utility transmission systems., • Expertise in PLS-CADD and PLS-POLE., • Engineer In Training (EIT) certification., • Work effectively in a team environment; can also work independently., • Track record of outstanding communication to serve as primary point of contact for existing and perspective clients., • Business acumen with a record of understanding and meeting key project performance metrics., • Working onsite in a Leidos or client office is a possibility; some periodic travel may be required., • Ability and passion to develop staff through mentoring. Favorable If You Have: • Two plus (2+) years of supervising staff., • M.S. degree in Structural Engineering., • Experience with TOWER., • P.E. certification or the ability to achieve P.E Certification in 6 months., • Experience with LPILE or FAD, Mathcad, AutoCAD or MicroStation, and Geographic Information Systems (GIS) is a plus. Why Leidos: At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. We take care of our employees. Leidos seeks the best and the brightest, and in return, we invest in you, with an eye on your future, through career advancement, growth opportunities, and continuous improvement via mentoring, formal and informal project management training and assistance with obtaining pertinent certifications. We challenge you to help solve some of the world’s toughest problems, and reward you with a welcoming culture that recognizes the importance of a strong work/life balance, as well as competitive compensation and benefits. We believe that diversity and inclusion make us all better and offer the chance to have fun and make a difference. We value and support the well-being and mobility of our employees with competitive benefit packages, complementary e-learning training, work-life flexibility, an exciting External Referral Program, and a diverse, inclusive, and ethical workplace. Our recognition as an industry leader is confirmed by the latest national rankings by Engineering News-Record (ENR) ranking Leidos within the Top 10 T&D Firms, and Top 10 Power Firms. If this sounds like the kind of environment where you can thrive, keep reading! Are you ready to make an impact? Begin your journey of a flourishing and meaningful career; share your resume with us today! PowerDelivery PDSTLINE If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. November 3, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $92,300.00 - $166,850.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Martindale-Avvo is seeking a high-performing Senior Account Executive (SAE) to join our Acquisition Sales organization. This role is designed for experienced sales professionals who excel at consultative, ROI-driven selling in a fast-paced, competitive environment. As an SAE, you’ll be responsible for acquiring new law firm clients, positioning Martindale-Avvo’s suite of digital marketing solutions, and consistently exceeding revenue goals while modeling best-in-class sales execution. The legal industry is evolving rapidly, and attorneys are looking for trusted partners to help them compete in an increasingly digital-first market. Our Senior Account Executives are at the forefront of this transformation - helping law firms expand visibility, win new clients, and measure ROI through Martindale-Avvo’s marketing and advertising solutions. What You’ll Do • Drive new business acquisition through high-volume outbound prospecting, consultative discovery, and tailored solution presentations., • Lead with ROI and consultative value: position Martindale-Avvo’s advertising, websites, and digital marketing products in a way that connects to firm-specific growth goals., • Own the full sales cycle: from prospecting and qualifying through discovery, proposal, negotiation, and closing., • Master pipeline management: maintain disciplined activity, pipeline accuracy, and forecasting within Salesforce., • Leverage data-driven insights: use metrics, reporting, and market trends to target opportunities and improve client outcomes., • Negotiate with confidence: handle objections, present competitive differentiation, and close deals at or above minimum pricing thresholds., • Act as a peer leader: model sales excellence, share best practices and mentor new hire Account Executives., • Adapt and thrive through change: embrace new sales tools, evolving buyer behaviors, and product launches with agility and resilience. What You Bring • Preferred 5+ years of B2B inside sales experience, including 2–3+ years of closing experience with a proven track record of consistently exceeding quota., • Strong consultative selling skills with the ability to uncover business pain points, articulate ROI, and deliver compelling solution presentations., • Demonstrated ability to manage a short-to-medium sales cycle (2–6 weeks) while maintaining high activity levels., • Proven success in new business acquisition — cold calling, objection handling, pipeline creation, and disciplined follow-up., • Technical proficiency:, • Fluency in Salesforce (or equivalent CRM) - building reports, maintaining pipeline hygiene, and pulling insights for decision-making., • Strong working knowledge of Outreach or other sales engagement tools., • Comfort with Google Suite and other productivity platforms., • Excellent communication skills: professional verbal presence, confident presentations and on-video demos, and polished written follow-up., • High resilience and growth mindset - competitive, coachable, and committed to continuous improvement., • Background in digital marketing, SaaS, or SMB marketplaces preferred. Compensation & Benefits • Base salary: $70K, • Uncapped commission with OTE $140-180K for top performers, • 3 weeks paid vacation, sick days, paid holidays, and sick leave (where applicable), • Medical, dental, vision, and life insurance benefits, • 401(k) plan with a company match, • Accessible leadership team and transparent career growth paths, • Recognition programs, performance incentives, and professional development opportunities About Internet Brands In addition to our awesome culture, we offer a comprehensive benefits package designed to support the health and well-being of you and your family. Our benefits include health insurance options such as medical, dental, and vision coverage, flexible spending accounts (FSA) for medical and dependent care, short-term and long-term disability insurance, and life and AD&D insurance. We also provide a 401(k) retirement savings plan with a company match, paid time off (PTO), paid holidays, commuter benefits as well as access to our Employee Assistance Program (EAP) and well-being coaching services. In addition, employees can take advantage of voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services. For more details, feel free to inquire during the interview process. Internet Brands®, headquartered in El Segundo, Calif, is a fully integrated online media and software services company focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company's properties and platforms include the WebMD, Medscape, and Henry Schein ONE networks, which are the global leaders in their markets; Nolo, Avvo, and Martindale, which form the largest consumer information provider in the legal market; and CarsDirect, Fodor's Travel, and many others which are leaders in their key vertical markets. Internet Brands' award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients. The company's powerful, proprietary operating platform provides the flexibility and scalability to fuel the company's continued growth. Internet Brands is a portfolio company of KKR and Warburg Pincus. Internet Brands and its wholly-owned affiliates are an equal opportunity employer.

Description At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that provide them with an opportunity to thrive, professionally and personally. For us, helping you grow your career is good business. Leidos is seeking Distribution Engineers & Designers in New Jersey who are passionate about electric utility design engineering. We’re looking for someone who is dedicated to ensuring that every project, no matter how simple or complex, is of exceptional quality. You'll be working directly with clients to make sure that Leidos' reputation for high-quality work is always maintained. If you join us in this role, you'll gain expertise in a variety of areas, including NESC, Structural Pole Modeling, Electrical Power Calculations, GIS design training, Field Data Collection, and Client Design Standards. Your greatest work is ahead! Travel: This position has remote-working capabilities, but candidates must be located within a commutable distance of our New Jersey support areas in order to be considered, so we can provide support to our local utility customer as needed. The selected candidate(s) will be expected to be available for in-person meetings and assignments throughout the customer territory in New Jersey on an as-needed basis. As a Distribution Engineer / Designer, you can expect to: • Independently develop design and construction work packages for electrical overhead and underground distribution systems for Leidos electric utility customers, • Review work provided by Client and assess requirements of scopes., • Perform engineering calculations such as: structural analysis for wood pole loading, guying calculations, specifying conductor sags and tensions for recommended spans, and calculation of voltage drop and flicker., • Provide engineering support during construction, including post-construction reviews to ensure all applicable engineering and construction standards have been met., • Conduct root cause analysis of outages and mitigation using engineering principles and design, • Gain experience in coordinating conflicting utilities and other field engineering design requirements, assessing and developing large design packages for complex cable/conduit projects in dense urban environments, work permit development, easements, and ROW applications What Sets You Apart (Background Requirements): • 2+ years of prior relevant experience is required., • Bachelor's Degree (Electrical, Mechanical, Civil, or Industrial preferred); additional relevant experience/certifications may be considered in lieu of bachelor's degree, • Experience with the execution of distribution projects from kickoff through design approved, including Customer interaction and Process documentation, • Experience with utility reliability projects, • Ability to demonstrate proficiency with the NESC, • Ability to utilize a personal vehicle, as some customer-related travel could be anticipated (Job-related travel will be reimbursed at IRS-approved rates), • Willingness to perform both field and office work; Ability to work in outdoor environments on occasion; The role may require customer-site visits to collect field data that will assist in developing work packages, • Candidates should possess valid U.S. driver's license, as some local or regional travel is expected Nice to Haves: • Previous QAQC experience, • Experience providing estimated costs, development of a BOM, calculating the CIAC, • Experience with design tools such as Pole Foreman, O-Calc, Spida-Calc, • Experience with the Work Management System CREWS, • Relevant management or leadership experience Professional Attributes that will help you succeed in this role: • Strong communication skills, written and interpersonal communications skills and supporting of customer advocacy, • Collaborative and inclusive of individuals of diverse backgrounds and geographic locations, • Positive attitude, • Ability to work with limited supervision, • Professional dress and demeanor, • Attention to detail & Highly organized, • Excellent time management At Leidos, we pride ourselves on being a trusted and technology-focused solutions provider. Our Power Delivery Services Team is the go-to for utilities and mobile operators who need reliable power and telecommunication expertise. We've worked with over 50 investor-owned utilities, over 160 municipals/cooperatives, and we're continuing to expand our reach. Plus, we've got an amazing group of industry-leading construction partners who help us deliver meaningful Energy Delivery Solutions. Our recognition as an industry leader has been confirmed time and time again. Engineering News-Record (ENR) has ranked Leidos among the Top 10 T&D Firms and Top 10 Power Firms. As a valued team member, you can look forward to a fast paced, diverse work environment and flexible work hours/work arrangements, as well as managers who will encourage career development and growth opportunities, including Professional Engineer License (PE), Project Management Professional (PMP), Leadership training, Formal Mentorship Programs, Management opportunities. PDSDLINE PowerDelivery If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. March 27, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $59,150.00 - $106,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

Description At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that provide them with an opportunity to thrive, professionally and personally. For us, helping you grow your career is good business. Leidos is seeking Distribution Engineers & Designers in New Jersey who are passionate about electric utility design engineering. We’re looking for someone who is dedicated to ensuring that every project, no matter how simple or complex, is of exceptional quality. You'll be working directly with clients to make sure that Leidos' reputation for high-quality work is always maintained. If you join us in this role, you'll gain expertise in a variety of areas, including NESC, Structural Pole Modeling, Electrical Power Calculations, GIS design training, Field Data Collection, and Client Design Standards. Your greatest work is ahead! Travel: This position has remote-working capabilities, but candidates must be located within a commutable distance of our New Jersey support areas in order to be considered, so we can provide support to our local utility customer as needed. The selected candidate(s) will be expected to be available for in-person meetings and assignments throughout the customer territory in New Jersey on an as-needed basis. As a Distribution Engineer / Designer, you can expect to: • Independently develop design and construction work packages for electrical overhead and underground distribution systems for Leidos electric utility customers, • Review work provided by Client and assess requirements of scopes., • Perform engineering calculations such as: structural analysis for wood pole loading, guying calculations, specifying conductor sags and tensions for recommended spans, and calculation of voltage drop and flicker., • Provide engineering support during construction, including post-construction reviews to ensure all applicable engineering and construction standards have been met., • Conduct root cause analysis of outages and mitigation using engineering principles and design, • Gain experience in coordinating conflicting utilities and other field engineering design requirements, assessing and developing large design packages for complex cable/conduit projects in dense urban environments, work permit development, easements, and ROW applications What Sets You Apart (Background Requirements): • 2+ years of prior relevant experience is required., • Bachelor's Degree (Electrical, Mechanical, Civil, or Industrial preferred); additional relevant experience/certifications may be considered in lieu of bachelor's degree, • Experience with the execution of distribution projects from kickoff through design approved, including Customer interaction and Process documentation, • Experience with utility reliability projects, • Ability to demonstrate proficiency with the NESC, • Ability to utilize a personal vehicle, as some customer-related travel could be anticipated (Job-related travel will be reimbursed at IRS-approved rates), • Willingness to perform both field and office work; Ability to work in outdoor environments on occasion; The role may require customer-site visits to collect field data that will assist in developing work packages, • Candidates should possess valid U.S. driver's license, as some local or regional travel is expected Nice to Haves: • Previous QAQC experience, • Experience providing estimated costs, development of a BOM, calculating the CIAC, • Experience with design tools such as Pole Foreman, O-Calc, Spida-Calc, • Experience with the Work Management System CREWS, • Relevant management or leadership experience Professional Attributes that will help you succeed in this role: • Strong communication skills, written and interpersonal communications skills and supporting of customer advocacy, • Collaborative and inclusive of individuals of diverse backgrounds and geographic locations, • Positive attitude, • Ability to work with limited supervision, • Professional dress and demeanor, • Attention to detail & Highly organized, • Excellent time management At Leidos, we pride ourselves on being a trusted and technology-focused solutions provider. Our Power Delivery Services Team is the go-to for utilities and mobile operators who need reliable power and telecommunication expertise. We've worked with over 50 investor-owned utilities, over 160 municipals/cooperatives, and we're continuing to expand our reach. Plus, we've got an amazing group of industry-leading construction partners who help us deliver meaningful Energy Delivery Solutions. Our recognition as an industry leader has been confirmed time and time again. Engineering News-Record (ENR) has ranked Leidos among the Top 10 T&D Firms and Top 10 Power Firms. As a valued team member, you can look forward to a fast paced, diverse work environment and flexible work hours/work arrangements, as well as managers who will encourage career development and growth opportunities, including Professional Engineer License (PE), Project Management Professional (PMP), Leadership training, Formal Mentorship Programs, Management opportunities. PDSDLINE PowerDelivery If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. March 27, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $59,150.00 - $106,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 5+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Salary Range$140,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to >50% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you have: • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Us Here at Lega-Nova Group we are a results-driven marketing and sales agency committed to helping brands grow through strategic campaigns, lead generation, and performance-based sales solutions. Our team combines creativity with data-driven strategy to deliver measurable results for our clients. We are seeking a motivated and analytical Business Specialist to support strategic initiatives, optimize internal operations, and drive business growth. Position Overview The Business Specialist plays a key role in supporting company growth by analyzing performance metrics, improving operational processes, and identifying new business opportunities. This role works cross-functionally with leadership, marketing, sales, and client services teams to ensure efficiency, profitability, and strategic alignment. This is an ideal opportunity for someone who thrives in a fast-paced agency environment and enjoys both strategy and execution. Key Responsibilities • Analyze sales, marketing, and operational performance data, • Identify growth opportunities and recommend strategic improvements, • Support business development initiatives and partnership opportunities, • Assist in budgeting, forecasting, and performance tracking, • Develop and refine internal processes to improve efficiency, • Prepare reports and presentations for leadership and stakeholders, • Monitor industry trends and competitive landscape, • Bachelor’s degree in Business, Marketing, Finance, or related field, • Strong analytical and problem-solving skills, • Excellent communication and presentation skills, • Ability to manage multiple projects in a deadline-driven environment, • Experience in a marketing or sales agency environment, • Knowledge of KPIs, sales funnels, and marketing analytics, • Experience with financial forecasting or revenue modeling, • Competitive salary, • Performance-based bonuses, • Professional development and leadership growth opportunities, • Collaborative and entrepreneurial work culture