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Senior Manager, Risk Advisor, Technology and Data Risk Management Capital One is one of the fastest growing organizations in the world today, powered by our passion for our customers. We are serious about technology, we dream big, and we execute: Capital One moved our entire enterprise to the public cloud over the course of five years. Just as we prioritize driving innovation through technology, we equally prioritize cybersecurity, reliability, software quality, and data management. Technology & Data Risk Management (TDRM) is a small organization that packs a big punch. The ~200 professionals in TDRM are trusted experts who oversee ~14,000 developers at Capital One. We raise the bar for excellence in cybersecurity, reliability, and tech risk, and data management risk. We shape strategy and decisions, challenge activities to ensure they meet our standards, and perform independent tests of our security and technology risk. For years, the cybersecurity community has debated whether the CISO should report to the CIO or not. In regulated financial services, the answer is: both. The first-line CISO has operational responsibilities and reports to the CIO. The second-line Chief Tech Risk Officer (CTRO) and the Tech & Data Risk Management (TRM) organization have broader responsibilities for cybersecurity but also reliability, software quality, resilience, and the risk of failing to manage our data. The CTRO is independent and oversees the work of the CISO, the CIO/CTO, and the Chief Data Officer. The CTRO reports to the Chief Risk Officer, who reports directly to the CEO. Our business leaders must make technology decisions constantly. TDRM makes sure they have the tech and data risk information they need to make good decisions. Associates within TDRM are highly-skilled information security, cybersecurity, site reliability engineering, technology, data analyst, data scientist, and risk management professionals. They have a wealth of experience and a demonstrated ability to add value with their advice and to deliver high-impact results. This position – Senior Manager, Cyber Risk and Analysis – will play a key role in shaping the second line’s independent point of view on cybersecurity, reliability, and tech risk, and analyzing the outcomes of the first line’s analysis to enable robust challenge across assessments. This includes leading independent risk analysis workshops, applying quantitative and qualitative risk assessment methodologies, understanding the stack of controls, identifying new approaches to reducing risk, systematically reviewing, analyzing, aggregating and comparing outputs of different assessments, and influencing 1st Line to drive definition and prioritization of high leverage risk reduction initiatives. It will be critical for this role to provide expert guidance and mentorship across TRM, foster strong working relationships with other 1st and 2nd Line groups, and expertly navigate the Enterprise Risk Management framework. As a member of a growing organization, you are expected to shape and further refine the risk program, and will have the opportunity to operate with both autonomy and empowerment from senior leadership. The successful candidate will be a seasoned leader with strong practical knowledge of risk frameworks and risk assessment methodologies applied to technology/cyber risk, who can think strategically and make data-driven decisions, who is intellectually curious, and who thrives driving change. Desired Outcomes: * Review and challenge first line periodic and change-driven risk assessments, including risk sizing, control suite adequacy and mitigation plan relevance * Prepare executive reports summarizing TDRM’s point of view on technology risks * Research industry trends and internal data to substantiate risk management decisions and make recommendations * Scope and facilitate cross-functional risk workshops and document the conclusions to influence 1st line’s risk framing * Foster a collaborative relationship with stakeholders across 1st and 2nd line * Develop and implement plans to orchestrate the operational rollout of risk methodology changes Ideal Candidate: * Positively contributes to an inclusive and accountable team culture * Critical analytical thinker, including the ability to express a point of view supported by data (with both technical and non-technical audiences) * Excellent communication and teaching skills, proven record teaching complex concepts to large audiences. Strong influencing and persuasion skills * Raises concerns early and knows when to escalate, including the ability to raise issues and facilitate constructive problem-solving at all levels of the organization * Passion and expertise in technology and cybersecurity domains, with an ability to be confident, respectful, and articulate when registering dissenting or unpopular opinions * Ability to manage multiple parallel initiatives while maintaining superior results * Execution oriented and a self-motivator * Personal resilience - the ability to stay optimistic and keep people focused during crises or times of change Basic Qualifications: * Bachelor’s degree or military experience * At least 6 years of experience managing, consulting, or auditing in the fields of risk management, information security or technology * At least 5 years of experience performing or challenging risk assessments leveraging qualitative and quantitative methodologies (COSO Framework, quantitative analysis, Factor Analysis Information Risk (FAIR), Process, Risk & Control (PRC) library, Risk and Control Self Assessment (RCSA), scenario analysis, new initiative risk assessments) * Professional security management certification (Open FAIR, Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), Certified Information Systems Auditor (CISA), or Certified in Risk and Information Systems Control (CRISC)) Preferred Qualifications: * Master’s degree in Information Technology, Cybersecurity, or equivalent * 5+ years of experience communicating and presenting data to both technical and non-technical audiences * 5+ years of experience applying risk quantification methodologies and rolling out risk framework changes * 4+ years of experience interacting with different stakeholders and leaders across multiple organizations * 4+ years of experience in a second-line or oversight role at a financial institution or regulatory agency At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $175,500 - $200,300 for Sr. Manager, Cyber Risk & Analysis McLean, VA: $193,000 - $220,300 for Sr. Manager, Cyber Risk & Analysis New York, NY: $210,500 - $240,300 for Sr. Manager, Cyber Risk & Analysis Plano, TX: $175,500 - $200,300 for Sr. Manager, Cyber Risk & Analysis Richmond, VA: $175,500 - $200,300 for Sr. Manager, Cyber Risk & Analysis Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionProduct Data Scientist at Bask Health At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You’ll Love Working at Bask Health Requirements Educational Background • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field., • Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus.Experience, • 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights., • Experience working with cross-functional teams, including product managers, engineers, and designers., • Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory.Technical Skills, • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis., • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar)., • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation., • Experience with A/B testing and designing experiments., • Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Google Cloud) is a bonus.Analytical Skills, • Ability to extract actionable insights from complex datasets., • Strong problem-solving skills and a keen sense of curiosity., • Experience applying machine learning techniques is a plus.Soft Skills, • Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders., • Strong project management skills, with the ability to prioritize tasks and meet deadlines., • Collaborative and proactive mindset.

Job Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities • Identify valuable data sources and automate collection processes, • Undertake to preprocess of structured and unstructured data, • Analyze large amounts of information to discover trends and patterns, • Build predictive models and machine-learning algorithms, • Combine models through ensemble modelling, • Present information using data visualization techniques, • Propose solutions and strategies to business challenges, • Collaborate with engineering and product development teams Requirements • Proven experience as a Data Scientist or Data Analyst, • Experience in data mining, • Understanding of machine-learning and operations research, • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop), • Analytical mind and business acumen, • Strong math skills (e.g. statistics, algebra), • Problem-solving aptitude, • Excellent communication and presentation skills, • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job DescriptionDescription: About Guideline.ai At Guideline.ai, we’re defining the future of advertising. By harnessing data transparency and advanced tools, we empower marketers to make smarter, faster, and more profitable decisions. We work with the world’s top brands, agencies, and media owners to transform media buying and selling into a more intelligent, efficient experience. If you’re ready to be part of a high-growth company at the cutting edge of data, AI, and media, we’d love to meet you. Data Scientist, Capital Markets The Capital Markets team within Guideline is focused on developing and delivering high value data products and insights that drive client engagement and revenue within the Capital Markets vertical. We are looking for a candidate with a strong command of data analytics and machine learning within the financial vertical and work collaboratively to build products that drive revenue growth. This is a hybrid role, working a few days a week from our office in the Toronto area. Key Responsibilities • Analyze structured and unstructured financial data to generate actionable insights for capital market clients., • Build and maintain predictive models and machine learning algorithms for market trends and KPI forecasts., • Create dashboards and visualizations to communicate insights clearly to both technical and non-technical stakeholders., • Work with domain experts to develop features and test hypotheses relevant to equities and the overall advertising market., • Partner with product and customer teams to embed insights into solutions that align with customer objectives., • Ensure data integrity, quality, and governance in all analytical work. We offer competitive compensation based on experience, education, and skill level. Full-time employees also receive: • Health, dental, life, and disability insurance, • RRSP with company match, • Paid time off and parental leave, • Teledoc Health services, • Employee recognition and referral bonuses Diversity & Inclusion At Guideline.ai, we believe diverse teams build better products and stronger companies. We’re proud to be an equal opportunity employer and encourage applications from people of all backgrounds, experiences, and perspectives. Requirements: • Degree in computer science, data analytics or direct experience required, • 3-5 years of experience with building data insight products that are derivatives of data assets, • Proficient in Python coding, data analytics and machine learning, • Forecast modeling capability, • Strong written and oral communication, • Understanding of the financial markets and direct experience a plus, • Knowledge of the Ad/Media buying industry will be an asset

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at . The R&D Formulation Manager/Principal Scientist will lead the design, development, and implementation of novel formulations and polymer materials for use in medical devices, ensuring all activities meet quality and regulatory standards. This role involves providing expertise in formulation development, building and optimizing internal capabilities to deliver innovative and efficient solutions, and ensuring alignment with the company’s long-term technical vision to create a strong pipeline of customer-focused innovations. Key responsibilities include developing and characterizing formulations, recruiting and onboarding talent, managing technical collaborations with external suppliers and vendors, and integrating formulations into scalable manufacturing processes, whether in-house or through CDMOs. This role operates in a collaborative, cross-functional environment, requiring flexibility, a strong focus on scientific formulation, and a drive to explore new technologies and techniques in pursuit of robust, innovative materials and products. The R&D Formulation Manager/Principal Scientist is expected to be a subject matter expert in areas including polymer material science, formulation strategies, analytical chemistry, and biomaterial interactions with biological systems. They are responsible for ensuring high standards in research practices. They are responsible for leading the creation of documentation required for regulatory submissions, developing strategies for grants and publications, and securing non-dilutive funding through grant opportunities. They will report to the Vice President Technology. This is a full-time, on-site position, located in Brooklyn, New York Responsibilities • Lead, staff, and manage formulation development teams and their efforts across multiple parallel product development opportunities, to launch new commercially successful products., • Provide sound scientific leadership, monitoring and coaching through the initiation, planning and execution their team’s overall activities., • Create and lead experimentation for exploratory and/or product development research with focus on polymeric materials and their use., • Exercise technical judgment in the design, execution, and interpretation of experiments within the scope of project responsibilities and ensure the use of professional concepts to solve complex problems in creative and effective ways, in conformance with scientific methods and procedures., • Lead material/design/process changes through design control process, with well-documented research/analyses., • Review and author protocols and reports including development studies and design verification/validation activities., • Develop and implement investigations into new technologies and capabilities, partnering with business development, that advance research team and company objectives., • Lead efforts in chemical and mechanical property evaluation to assess the desirability of process or formulation changes. Develop test method capabilities to support R&D (exploratory research, product development) and production test requirements., • Develop unique, proprietary (and ideally patentable) intellectual property that yields competitive advantage., • Lead and participate in voice-of-customer (VOC) labs and influence go-to-market strategies., • Interface with customers, suppliers, and internal cross-functional team members to develop specifications and coordinate prototype fabrication., • Work as part of a cross-functional team to develop, verify, and validate product designs through bench, in-vitro, and in-vivo testing and other assessments., • Ensure an effective documentation system is in place and utilized throughout the development process inclusive of R&D lab notebooks, design reviews, test methods, and test reports., • Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation pertaining to research towards FDA/regulated authority submissions,, • Act as research liaison between R&D and Quality Control to define product specifications., • Maintain active dialogue with Manufacturing to ensure successful technology transfer and process development, including the review of research-related documents, • Provide guidance and support to commercial teams, support introduction of new technologies with development of presentations, sales tools, formulations and applications data., • Communicate results to the scientific community via published papers. Present research at academic/industry symposia as an external representative of the company., • Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high-quality research operations within the organization. Required Qualifications • Master’s degree in Chemistry, Materials Science, Chemical Engineering, Polymer Science, or a closely equivalent discipline., • A minimum of 10 years of research experience in developing and utilizing polymeric materials, biomaterials, or other complex materials toward product/application development and their manufacture., • A minimum of 2 years of direct management experience., • Adept experimentalist with hands-on research experience with polymers, coagulation chemistry, and materials science of complex systems, including the development of structure-property performance relationships in designing and characterizing these materials., • Demonstrated ability to solve difficult technical problems and deliver practical solutions that meet the application requirements, along with a fundamental understanding of the chemistry that drives the performance required. This includes strong analytical, problem-solving, and decision-making skills with the ability to be observant and to think creatively., • Direct experience in new product development from concept to regulatory approval through launch., • Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies is required., • Excellent verbal and written communication skills, with the ability to lead in a dynamic and collaborative environment is required., • Highly organized and detail-oriented, with the ability to extract key facts from complex information and create/present clear and concise technical documentation is required., • Demonstrated ability to lead and inspire teams and develop and mentor individuals, and allocate resources strategically and according to the portfolio priorities., • Requires strong leadership and organizational skills with a strong attention to detail and multi-tasking skills while simultaneously keeping overall “big picture” view of projects, priorities, and strategies., • Experience working under pressure with tight timelines, with the ability to maintain a sense of priorities, focus, urgency, and delivery., • Strong working knowledge of Microsoft Office., • Legal authorization to work in the United States. Preferred Qualifications • Ph.D. in a relevant discipline is strongly preferred., • Experience developing and commercializing products in a highly regulated environment, • Medical device development experience., • Demonstrated expertise in the use, development, and qualificication of material characterization techniques, including rheological, thermal, mechanical, spectroscopic, microscopic, and other chemical compositional methods., • Strong understanding of medical device regulatory requirements for Class II and III medical devices (e.g., 21 CFR Part 820), cGLP/cGMP, and related standards (e.g., ISO 13485)., • Strong understanding of cGMP, ICH guidelines, • Six sigma green belt or black belt certification., • Experience with executing a grant and publication submission strategy, knowledge of and strong track record with SBIR submissions to multiple agencies, including NIH and DOD is strongly preferred., • Demonstrated experience in Project Management and Product Lifecycle Management practices, and the ability to lead multiple projects simultaneously., • Excellent problem-solving skills and a proactive approach to addressing formulation challenges. Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits BENEFITS • Competitive annual base salary range of $130,000 - $180,000, depending upon qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

Job DescriptionProduct Data Scientist at Bask Health At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You’ll Love Working at Bask Health Requirements Educational Background • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field., • Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus.Experience, • 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights., • Experience working with cross-functional teams, including product managers, engineers, and designers., • Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory.Technical Skills, • Experts in programming languages such as Python & SQL for data manipulation and analysis., • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar)., • Experience with Alteryx (1+ Year), • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation., • Experience with A/B testing and designing experiments., • Familiarity with data tools (e.g., Segment, Snowflake), ETL tooling and cloud platforms (e.g., AWS, Google Cloud) is a bonus.Analytical Skills, • Ability to extract actionable insights from complex datasets., • Strong problem-solving skills and a keen sense of curiosity., • Experience applying machine learning techniques is a plus.Soft Skills, • Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders., • Strong project management skills, with the ability to prioritize tasks and meet deadlines., • Collaborative and proactive mindset.

Job DescriptionThe Role We are looking for a Senior Climate Scientist with strong industry experience and a robust coding background to join our team. This role requires a blend of scientific expertise, technical proficiency, and communication skills, enabling you to not only contribute to our wildfire and climate models but also effectively pitch and discuss our models and systems with stakeholders. Primary Responsibilities • Develop, refine, and validate climate and wildfire models to support underwriting and risk management., • Communicate complex scientific models and data-driven insights to both technical and non-technical audiences., • Collaborate closely with cross-functional teams, including engineering and underwriting., • Stay up-to-date with the latest climate science research, methodologies, and industry trends., • Design and implement Python-based analytical tools and models., • Analyze historical and predictive wildfire and climate data to improve model accuracy and effectiveness. Essential Experience of a Successful Candidate • PhD or Master's degree in Climate Science, Meteorology, Environmental Science, or a related field., • Proven industry experience in climate modeling, wildfire risk assessment, or similar domains., • Strong Python programming skills, including experience with data analysis libraries such as Pandas, NumPy, and geospatial tools., • Hands-on experience with climate and wildfire modeling techniques and tools., • Excellent communication skills, capable of simplifying complex models for diverse audiences., • Experience presenting at conferences or pitching scientific models to industry stakeholders., • Familiarity with machine learning techniques for climate data analysis., • Knowledge of geospatial data analysis and visualization frameworks., • Be part of a mission-driven company tackling real-world challenges., • Work with a passionate and innovative team in a collaborative environment., • Opportunity to influence cutting-edge wildfire risk modeling in a dynamic industry., • Competitive salary ranging from $120,000 to $160,000 depending on experience and qualifications., • Benefits package includes remote work flexibility, with tools to support productive work from home.

Job Description About Us Applecart is the leading technology company creating a new category of "Decision Maker Marketing". The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders that matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available or fully permissioned data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those that matter most to them. We are hiring a Principal Data Scientist in our NYC office. About the Role: As a Principal Data Scientist on the Research and Insights team, you will collaborate with the VP of Data Science. Your primary focus will be on developing audience measurement metrics for programmatic advertising and social channels, contributing to Applecart's software platform for targeting, advertising, and evaluating the impact of campaigns. Key responsibilities include building and modeling audience measurement metrics, implementing research for crossplatform audience measurement and predictive products using campaign logs and audience data to optimize audience construction. What You'll Do • Develop and implement audience measurement metrics using machine learning algorithms, survey data, publicly available data, and experiments., • Design, develop, and deploy advanced statistical models to enhance advertising campaign measurement, planning, and targeting accuracy., • Lead the design and implementation of survey based approaches to build audience measurement metrics., • Communicate analytical concepts and results clearly to stakeholders., • Ensure data integrity and accuracy through rigorous model testing and validation., • Degree in a quantitative discipline (e.g., mathematics, statistics, computer science). An advanced degree is preferred but not required., • Deep understanding of machine learning, statistics, and data science., • 7+ years of experience in data science and/or modeling., • 7+ years in digital advertising., • Proficiency in Python (or R) and SQL., • Familiarity with survey research for audience measurement., • Strong experience in Spark is preferred., • Expertise in data wrangling and debugging machine learning systems., • Team-oriented, pragmatic, and able to build rapport., • Strong communication, writing, and critical thinking skills., • Experience in mentoring in data science, analytics, and predictive modeling. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $175,000-225,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 8X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, Executive Chairman of WME, and Jennifer Fonstad, Owl Capital Managing Partner, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a Decision Scientist II, you will collaborate closely with product management, engineering, design, and marketing teams to drive the development, prioritization, and planning of the product roadmap. You will transform insights into decisive actions and product enhancements, providing business teams with actionable insights and investigating issues to empower leadership decisions. Embedded within a dynamic environment, you will design, execute, and analyze experiments to solve complex business problems directly related to growth and success. Close collaboration with stakeholders will be key to your success, as you address challenges and contribute to the continuous improvement of the user experience. We currently have multiple Decision Scientist II roles open across different teams. Please note, we will start with a more general interview process and will then match you accordingly based on interest and experience. Key Focuses: • Define KPIs and create reports and dashboards against large data sets to track performance., • Use data to identify opportunities for improving user acquisition and optimizing return on investment., • Turn ambiguous questions into clear analytical problems and solve them using data., • Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth., • Design, execute, and analyze experiments that drive product growth and improvement., • Bachelor's degree in a quantitative field such as Mathematics, Computer Science, Operations Research, Economics, or equivalent experience., • 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product., • Proficient with A/B testing, experimental design, and utilizing statistical modeling and causal inference to inform business decisions., • Proficient in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL., • Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Operations Research, or Economics., • Extensive knowledge and practical experience in statistical methods such as causal inference, experimental design, and Bayesian inference., • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $130,000 - $155,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job DescriptionSalary: Position: Sr Data Scientist / AI engineer Location: New York, NY(Hybrid 3x in office) Employment Type: Contract-to-hire Contract Duration:1-2 years The Senior Data Scientist is responsible for the design and development of advanced generative, recommender and predictive models that will generate valuecreation. This role involves ensuring the performance and accuracy of solutions, staying abreast of the latest AI research and methodologies (particularly in thedomains of natural language processing, predictive analytics and information retrieval), as well as promoting and implementing data science best practices. Responsibilities: • Lead the design, development, validation, anddeployment of innovative, performant and scalable AIengines, applying rigorous testing to ensure alignmentwith business objectives., • Conduct advanced statistical analysis to provideactionable insights, identify trends, and measureperformance., • Apply A/B testing framework to test models' qualityand integrate data insights into the businessprocesses., • Coordinate with different functional teams toimplement models, design processes and tools tomonitor and analyze model performance and dataquality., • Drive the AI methodology R&D agenda to ensureCLIENT continues to offer added value by best-inclass AI approaches in fast-moving landscape. Key Skills: DomainExpertise: • MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics orMathematics or related technical discipline, • Experience with popular cloud-based ML platforms (AWS SageMaker, Azure Machine Learning) is a plus, • Strong applied understanding of MLOps / LLMOps best practice, • Experience to merge and transform disparate internal & external data sets together to create inputs for AI Agile +Digital Experience: • Openness to working in Agile environments with multiple stakeholders, • Professional attitude and service orientation; team player, • Quick learner to business needs and translate them into potential analytics solutions, • Strong analytical and problem-solving skills; healthy skepticism around validity of data and its biases, • Exemplary organizational skills with attention to detail & accuracy, • Ability to coach, mentor, and collaborate with business partners, analysts, and team members, • Attitude to thrive in a fast-paced environment, Open minded to new approaches of learning

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for an Associate Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with other data scientists, data engineers, and product managers to improve the logic and systems we use to rank providers and power our recommendations. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build and maintain data-driven algorithms to improve provider recommendations and the member search experience., • Design data pipelines that model and enrich healthcare provider data., • Collaborate across product, engineering, and operations teams to solve open-ended business problems with data-driven solutions.What you will bring to the team:, • Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related STEM field., • Less than 1 year of professional experience in data science, analytics, finance, consulting, or product roles., • Proficiency in statistics, hypothesis testing, and exploratory data analysis., • Demonstrated ability to produce high-quality analytical work through internships, academic research, or personal projects., • Experience with Python or SQL, including use of common data science libraries (e.g. Pandas, NumPy, scikit-learn, and visualization tools such as Matplotlib or Plotly), is highly desirable.

Job Description Partnered with a prestigious hedge fund in the New York area looking to expand headcount for one of their PM teams. The group is embedded within the fundamental long/short equity business and are targeting a strong Data Analyst/Scientist. This new hire will collaborate directly with the Portfolio Manager by leveraging a variety of data sources/systems to support investment theses and help inform investment decisions. Further qualifications and responsibilities below: Responsibilities: • Analyze data to directly support idea generation and investment decisions with a focus on equities, • Design and maintain data products relevant to the team's specific sector, • Extract actionable insights and information from complex datasets, • Develop automated systems that can analyze/ingest a wide range of information in order to support decision making in a timely manner, • Develop custom libraries and data pipelines that can enhance the team's analytical capabilities Requirements: • Bachelor's (preferably masters) in a STEM subject, • Must have experience working with unstructured and structured data, • Strong understanding of statistical concepts and it's relation to large scale data analysis, • Strong programming skills in Python or R, • Experience with data visualizationCompany DescriptionOperating as part of Phaidon International, Selby Jennings is a multi-award winning global recruitment organization focused on servicing the financial industry. By breaking down financial markets into individual niches and micro-specialisms, Selby Jennings powers a knowledge-led model, delivering global solutions into local markets. Every consultant is an expert in their field. Structuring our teams to mirror the demands of our clients and candidates, we identify, qualify and present the highest caliber candidates, as well as identifying the best market opportunities for leading finance professionals. We work in partnership with clients to tailor-make a suitable search model based on the type of assignment and client service level requirements, adopting a bespoke combination of solutions to ensure optimum reach into the active and passive market places. From our offices around the world, we recruit beyond international boundaries, pro-actively sourcing the best talent in the industry. Across contingent, retained, and project solutions, our service is unrivaled; speaking to our level of service provision, search accuracy, and flexibility.Operating as part of Phaidon International, Selby Jennings is a multi-award winning global recruitment organization focused on servicing the financial industry.\r\n\r\nBy breaking down financial markets into individual niches and micro-specialisms, Selby Jennings powers a knowledge-led model, delivering global solutions into local markets. Every consultant is an expert in their field. Structuring our teams to mirror the demands of our clients and candidates, we identify, qualify and present the highest caliber candidates, as well as identifying the best market opportunities for leading finance professionals.\r\n\r\nWe work in partnership with clients to tailor-make a suitable search model based on the type of assignment and client service level requirements, adopting a bespoke combination of solutions to ensure optimum reach into the active and passive market places.\r\n\r\nFrom our offices around the world, we recruit beyond international boundaries, pro-actively sourcing the best talent in the industry. Across contingent, retained, and project solutions, our service is unrivaled; speaking to our level of service provision, search accuracy, and flexibility.

Job Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role: As a member of our Data Science staff, you’ll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master’s or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $160K - $220K

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • 6+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role You will be the analytical powerhouse behind our marketing initiatives, working end-to-end from data exploration to model deployment. Your work will directly influence how we invest in marketing channels, personalize user engagement, and measure ROI at scale. In this role, you will: * Design, analyze, and interpret experiments to optimize marketing performance across channels (paid media, lifecycle marketing, influencer partnerships, etc.) * Build and maintain attribution models to better understand customer journeys and channel impact. * Develop forecasting and optimization tools to allocate budget efficiently and predict campaign performance. * Partner with marketing, product, and engineering teams to create data-driven strategies for audience segmentation and personalized messaging. * Establish scalable measurement frameworks for new marketing channels and campaigns. * Present actionable insights and recommendations to executive leadership in a clear, compelling narrative. Team members in this role are required to be within commuting distance of our New York City, Los Angeles, Seattle, and San Francisco hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Data Scientist, Marketing, you should have: * 4+ years of experience in data science, analytics, or applied statistics, ideally in a marketing, growth, or advertising context. * Advanced proficiency in SQL and Python (or R) for data manipulation, modeling, and analysis. * Experience with marketing measurement techniques (e.g. MMM, incrementality testing, causal inference). * Strong understanding of digital marketing ecosystems, including paid social, search, display, email, and affiliate channels. * Proven ability to design and analyze A/B and multivariate experiments. * Excellent communication skills, with the ability to translate complex analyses into clear, business-focused recommendations. * Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering) or equivalent experience. 💰Compensation For Full-Time (Salary) US-based applicants: $205,000/year to $240,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $205K - $240K

Job Description Data Scientist NYC Private Equity - Investment Management Firm J Harlan Group is currently conducting a search for an experienced and highly motivated Data Scientist, at a prominent NYC Private Equity - Investment Manager. An exciting opportunity to join this fast-growing and dynamic investment organization that is experiencing exceptional growth! The Data Scientist will play a critical role in driving data-driven decision-making across the firm's investment strategies, portfolio management, and risk platform. The ideal candidate will bring extensive experience in data science, investment management/strategies and an understanding of portfolio management & risk management. Key Responsibilities: Working in a Hybrid work environment: • You will work closely with verticals, business intelligence analysts, data engineers, and other stakeholders to design, develop and deploy data-driven solutions that drive investment decisions and facilitate improved operational outcome at their portfolio companies., • You will have the opportunity to bring your ideas to life by building on a foundation of strong internal support, clear vision, engaged users and bright, kind teammates., • Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures., • Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues., • Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models, • ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production., • Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements., • Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results., • Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis. The ideal candidate would have a background including: • Minimum of 3-7 years of experience in Data Science, preferably with experience with the analysis or application of data in finance or economics – specific experience with real assets a plus!, • Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models, • Strong programming skills in Python (or R or Julia) and SQL, • Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.), • Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) – and associated ML platforms (e.g., SageMaker, Vertex), • Working knowledge bringing models to production, • Experience with data modeling, data warehousing, and ELT processes, • Strong analytical, strategic thinking, and problem-solving skills., • Excellent communication and interpersonal skills, with the ability to interact effectively with senior management and external stakeholders. Nice to Have: • Monte Carlo Simulation: Experience building Monte Carlo models for time series simulation; experience with VAR or similar a plus., • Domain Expertise: Experience with the analysis or application of data in finance or economics – specific experience with real assets a plus Education: About the Client: The firm is a leading investment manager and private equity firm specializing in the acquisition of transportation equipment and asset operating platforms in the infrastructure sector. The firm targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St. Louis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of financial markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior partners in a highly collaborative and charged investment environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients. The estimated salary range is $135,000-$215,000. Employees may also be eligible for an annual discretionary incentive compensation award. Actual base salary may vary based upon, but not limited to relevant skills, experience, qualifications, and geographic location.

Job DescriptionCompany Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Boston or Chicago metropolitan areas. Job Description We’re looking for an experienced applied data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, and insightful in your analytical approach. You thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise. As a Senior Data Scientist, you are an influencer who can up-level the pursuit and impact of applied data science at Curinos, helping formulate and implement company-wide best practices. Responsibilities: • Combine data sources and apply multiple data and algorithmic approaches to create a clear, cohesive, static and temporal picture of banking customers, actionable for both humans and algorithms., • Collaborate with business partners to develop meaningful segments to target and optimize consumer interactions based on shared preferences and behaviors., • Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities., • Create well-organized datasets and data processing, algorithm implementations and recommended visualizations that can support implementation in our platform software and documentation, feature and functionality descriptions and customer engagement as needed Desired Skills & Expertise: • You have 5+ years experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications., • You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models., • You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, neural networks and deep learning techniques. Experience in reinforcement learning and multi-armed bandit applications is highly preferred., • You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting., • You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers., • You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals., • You can quickly pivot and act with agility as dictated by the needs of the business., • You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline Additional Information Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job Description SOFTWARE ENGINEER – NYC Hedge Fund J Harlan Group is currently conducting a search for a Software Engineer at a prominent NYC Hedge Fund. An individual that can build scalable and creative application solutions providing the firm with a distinct commercial advantage that will enable a host of opportunities that will differentiate the firm from their competitors. A seasoned and professional computer scientist with extensive technical experience in developing application technologies. Our client brings together some of the best minds in computer science, mathematics, physics, and engineering to work at the intersection of finance and technology. Members of their versatile technical staff exhibit a range of strong quantitative and programming abilities, with software developers and quantitative analysts collaborating on challenging problems that directly impact the firm's continued success. Quality and innovation are imperative for creating computationally intensive solutions for trading profitably in markets around the globe. Developers bring strong analytical, mathematical, and software design skills to a variety of projects, including the formulation of statistical models for our computerized trading strategies, distributed system development, real-time data analysis, and the creation of tools for advanced mathematical modeling. Technology is an integral part of virtually everything they do and their team enjoys access to some of the most advanced computing resources in the world. Successful candidates have traditionally been the top students in their programs and have extensive software development experience. Principal Responsibilities: • Formulate and implement statistical models that drive computerized trading strategies., • Design and build distributed systems to process and react to high-volume, real-time data streams., • Develop tools and infrastructure to support advanced mathematical modeling and large-scale data analysis., • A Computer Science “Rock Star” - A strong computer science and/or quantitative background, • Programming skills required - proficiency with one or more object-oriented programming languages, • Ability to craft creative (and practical!) solutions to problems and express those solutions in code., • Intellectual curiosity and flexibility. We are always learning and seeking out new ideas. An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the products they build and deliver. An individuals with a passion for technology, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class technologies. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a prominent multinational investment management firm. The company manages a variety of investment funds that make extensive use of quantitative methods and proprietary computational technology to support fundamental research in the management of its investments. They have a relentlessly focus on innovation and integration: innovation in new products, markets and businesses as well as new tools, models and technology management and performance structures; integration of fundamental research, quantitative strategies and technical analysis, all supported by an intensive focus on operational excellence and comprehensive risk management. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis Their culture rewards analytical rigor and adherence to the highest possible ethical and legal standards, and they've cultivated a collegial work environment that promotes collaboration across disciplines, geographies, and investment strategies. The firm has been built in part by attempting to do what other companies might consider impossible or never imagine at all. A single transformative idea that ultimately works—for a new business, a new trading model, or an improved back-office process—is worth a dozen ideas that lead nowhere. They've learned that when an extraordinary team sets extraordinarily ambitious goals, astonishing breakthroughs can be expected. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior partners in a highly collaborative and charged trading floor environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The expected annual base salary for this position is $225,000. Actual compensation will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Their compensation and benefits package include; • Variable Compensation: Substantial year-end bonus (guaranteed in first year)., • Additional Incentives: Sign-on bonus and relocation bonus., • Benefits Package:, • Medical and prescription drug coverage, • 401(k) contribution matching, • Wellness reimbursement, • Family building benefits, • Charitable gift match program

Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: We are seeking an experienced and business-savvy Senior Data Analyst to join our team. In this role, you will be a key partner to our product, engineering, operations and business teams, delivering actionable insights that drive strategic decisions. As Senior Data Analyst, you will report directly to the Chief Product Officer and co-founder, with a direct line into engineering. You will be responsible for diving deep into our vast array of data to understand user behavior and marketplace dynamics. In addition, you will build and maintain data pipelines and dashboards, influence strategy on how data models can drive value in the product, and more. The ideal candidate is a self-starter who is comfortable with the entire data lifecycle, from extraction and transformation to analysis, presentation and modeling. Responsibilities: • Partner with stakeholders across the company to understand their business needs and translate them into data-driven questions and analyses., • Design, build, and maintain scalable and reliable data pipelines and ETL/ELT processes to support our analytics needs., • Conduct in-depth analysis of large, complex datasets to identify trends, patterns, and opportunities for growth., • Develop and maintain statistical models to forecast key metrics and predict user or partner behavior and outcomes., • Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide visibility into business performance., • Partner with product and business teams to drive consensus on definitions and standardization of metrics., • Communicate findings and recommendations to both technical and non-technical audiences in a clear and concise manner., • Collaborate with product and engineering to apply statistical and machine learning concepts to solve business problems., • 5+ years of experience in a data analyst, business intelligence analyst, data scientist, or similar role., • Proven experience in designing, building, and maintaining data pipelines., • Strong proficiency in SQL and experience with at least one programming language for data analysis (e.g., Python, R)., • Experience with data visualization tools such as Looker, Tableau, Power BI, or similar., • Solid understanding of data warehousing concepts and ETL/ELT processes., • Familiarity with data science concepts and machine learning techniques., • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams., • Strong business acumen and the ability to translate data insights into actionable business recommendations., • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range: $125,000 - $145,000 Salary Range$175,000—$225,000 USD

Job Description Hudson Health System offers high-quality, affordable, and accessible healthcare via four hospitals and multiple outpatient sites in northern New Jersey. Our lab services are critical, and the AVP will lead diagnostics and innovation. We are an equal opportunity employer and comply with the NJ Pay Transparency Act. Scope of Position The Associate Vice President, Laboratory Services leads all diagnostic laboratory testing and related services for Hudson Health System's inpatients, outpatients, and outreach clients. This includes managing operations across HRH Bayonne, Christ, Secaucus, and Hoboken University Medical Center, encompassing all central labs, hospital-based labs, outpatient clinics, and patient service centers. The role has direct oversight of approximately 200 FTEs and a $30 million operating budget. Primary Responsibilities • Develop strategic direction for laboratory services aligned with the goals of Hudson Health System., • Ensure quality, operational integrity, and cost-effectiveness of laboratory operations across all sites., • Maintain full regulatory compliance (CLIA, CAP, Joint Commission, OSHA, FDA, and state requirements)., • Enhance laboratory support for clinical programs and value-based care initiatives., • Oversee daily operations including staffing, budgeting, quality assurance, technical processes, chemical hygiene, and safety programs., • Drive innovation in test menu development and lab service delivery., • Ensure integration of laboratory systems with physician, nursing, IT, and materials management teams., • Build cross-campus operational workgroups to standardize processes and ensure continuous improvement., • Oversee vendor relations, equipment acquisition, and lab formulary development., • Serve as a senior leader within Hudson Health System, collaborating with the CMO, COO, and other hospital executives., • Act as liaison to laboratory medical directors and pathologists., • Develop and coach laboratory leadership teams across all campuses., • Champion a culture of transparency, accountability, service excellence, and innovation., • Advanced degree in healthcare or business administration (MD, MHA, MBA) required., • Minimum 10 years of progressive lab management experience, preferably within an integrated health system., • Experience with outreach, reference testing, mergers, and large-scale lab consolidations preferred., • Familiarity with lab formulary strategy, CIN integration, and value-based care models., • Master’s degree in clinical laboratory science, Medical Technology, or related field required; PhD, DSc.. (Preferred.), • Current state licensure as a Clinical Laboratory Scientist/Medical Technologist and national certification (ASCP, NCA, or AMT) (Required.) Benefits: • 401(k), • Dental insurance, • Employee discount, • Flexible schedule, • Health insurance, • Life insurance, • Paid time off, • Professional development assistance, • Referral program, • Tuition reimbursement, • Bonus opportunities, • Signing bonus, • 8 hour shift, • Hudson County, NJ: Relocate before starting work (Required) Work Location: In person

Job Description Welcome! Ovid Therapeutics is a biopharmaceutical company developing medicines designed to conquer seizures with courageous science. We exist to serve and meaningfully improve the lives of people affected by epilepsies and brain disorders with seizure symptoms. It is with curiosity, courage, and tenacity that, together, we work for meaningful change in the lives of patients and their families. With this sense of purpose and urgency we challenge the conventional and embrace the wisdom and thought that comes from diverse backgrounds and perspectives. Importantly, we understand the commitment we make to our patients, our broad community and to each other is based on the humanity that we share. The Role On Our Team We are seeking an experienced formulation development and process development scientist in the New York City, Philadelphia, or Boston area for a new and uniquely broad role spanning from formulation discovery to pharmaceutical development, to deliver multiple drug product options for CMC manufacture. Working across functional groups, the Director will be responsible for providing leadership and decisions on small molecule drug products from drug discovery to clinical studies. As the lab functions are completely outsourced, strong communication and interpersonal skills are needed to direct work done in CROs and CDMOs in remote locations often in different time zones. Broad technical expertise and leadership in formulations, process development, and CMC will be critical to the success of the role. Reporting to the CSO, this is a highly visible and team-facing role. The role is a hybrid of office visits in NYC a few times a month, working from home, and meeting with other colleagues in local workshare locations. Job Responsibilities: • Serve as a senior member of the R&D Team responsible for developing and establishing small molecule strategies, • Provide leadership and direction for the area of formulations, process development, and clinical CMC for small molecule formulations including oral solid dosage forms and sterile injectables, • Provide leadership and hands-on technical, operational, and strategic guidance on a wide range of activities across all development stages from lead optimization of pre-clinical drug candidates, pre-formulation, formulation development, process scale-up, technology transfer, and process validation of clinical drug candidates, • Demonstrate a thorough understanding of the cGMP environment (internal and external cGMP manufacturing operations) and compliance requirements and provide technical support to internal and external cGMP manufacturing operations, • Ensure successful transfer of new products and technology to internal and external clinical and commercial manufacturing sites, including generation of knowledge and understanding to support product robustness targets, • Liaison with internal and external stakeholders to ensure there is accurate levels of finished goods material availability per demand management requirements to reduce obsolescence, minimize expired items and maximize inventory turns, • Provide guidance and strategic directions through interactions with each project team. Work across functional groups in Research, Regulatory and external partners identifying issues that may delay timelines, providing solutions to difficult technical/functional issues associated with specific projects, as well as support the resolution of issues that arise, • Minimum of BS in a related field with 10+ years of relevant process development, formulations, and CMC of pharmaceutical products and supporting CMC clinical programs, • Small molecule experience in drug discovery teams, • Demonstrated experience for leading early-stage pharmaceutical development functions Your Background and Experience - preferred qualifications • MS with 8+ years or PhD with 6+ years of relevant experience. Advanced degree in chemical engineering or chemistry or pharmaceutical development, • Experiences designing and optimizing drug formulations, conducting stability studies, analyzing data, preparing technical reports for regulatory submissions, and collaborating with cross-functional teams, • Have experience in the production of small molecules (API and drug product) from planning through procurement; technical transfers, qualification, validation, trouble shooting, NDA’s, FDA inspections, process scale-up, and commercial operations support, • Experience with managing contract manufacturing organizations and be familiar with supply chain architectures including vendor selection, qualification, and contracting, • Have outstanding written and verbal communication, including listening, presentation, and conveying technical information for a broad audience., • Bring a history of great collaboration and teamwork with the ability to motivate and influence others; have a reputation for successful partnering with internal and external stakeholders, • Have the ability and the drive to succeed in a small biotech organization. Interest to grow in the function to advance new technologies in new therapies. Must be self-motivated, proactive, work well under pressure and deadlines, and thrive in a small “all hands-on deck” environment, • Solution-oriented thinker who possesses a “can do” attitude with a strong sense of urgency, • Have strong interpersonal skills with the ability to motivate and influence others, negotiate during situational conflict, and establish the best path forward in the face of competing points of view, • Create a balance of analytical and methodical problem solving with creative and flexible solutions We operates in a hybrid-work model. Candidates applying must be willing and able to be in the NYC office in coordination with their manager's expectations, as well as department and business needs. The base salary range for this position is $220,000 - $270,000. The actual salary offered within the range is dependent on a variety of factors including, but not limited to , relevant experience, qualifications, skills, level offered, and performance expectations. Powered by JazzHR hrLf0XvG9T

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. • Taskrabbit is a hybrid company with employees distributed across the US and EU, • Built In — Best Places to Work (2022, 2023, 2024) Continually ranked across multiple national and regional categories., • DataBird Journal — Workplace Diversity & Inclusion Awards, • #1 Best Companies for Diversity in 2019 & 2020, • #4 (2019) → #1 (2020) Best Companies for Women Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!. This role is a two days a week in office, hybrid role that can sit in either our San Francisco office or our New York City office (Opening January 2026!) About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of the team, you will help drive our business strategy forward through predictive insights. We are seeking a highly skilled and motivated Senior Data Scientist to join us, working closely with cross-functional teams from product, engineering, marketing and operations to provide data-driven insights and solutions that enhance our products and accelerate growth. What you will work on • Be a strategic thought partner with stakeholders from product, marketing, and operations to define high-impact analytical problems, and solve them using different analytical and statistical approaches. Present actionable insights in a clear and compelling manner., • Proactively perform analytical deep dives to identify strategic growth opportunities in key business levers, e.g. customer/partner acquisition, retention, conversion, etc., • Collaborate with stakeholders to define and measure success metrics for new features and products, conduct advanced experimentation and causal inference to optimize product features and user experiences, • Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation.Who you are, • BS, MS or Ph.D. in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related field)., • A minimum of 5 years industry experience in data science; previous experience in a marketplace business is a plus, • Experience with advanced experimentation and statistical modeling, • Excellent analytical and problem-solving skills., • Excellent business acumen and strategic thinking skills, • Advanced in SQL, experienced in Python, and familiar with data pipeline tooling (e.g. dbt) and git., • A self-starter with the ability to work independently and drive your own projects end-to-end with a track record of landing strong business impact The base pay range for this position is $115,000 - $160,000. This range is representative of base pay only and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist (Identity & Attribution) Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist on the Identity team, you’ll play a critical leadership role in building scalable systems and models that power identity and attribution — tackling problems like entity resolution, data enrichment, and real-time user matching. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to to significantly improve the effectiveness and quality of our attribution and user graph systems, including but not limited to identity., • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy., • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph. About You: • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with large-scale data science projects in identity, attribution, fraud, or related areas (e.g., authentication, user verification, risk scoring, graph-based linking), • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description Data Scientist Full-time | On-site | New York, NY Compensation: $150K – $250K + Competitive Equity About the Role We’re looking for a Data Scientist who can own outcomes, not just models. You’ll define, predict, and move the company’s core metrics—switching seamlessly between hands-on analytical work, product experimentation, and high-stakes business initiatives. You’ll partner with engineering on technical projects, lead cross-functional ops workstreams, and brief enterprise stakeholders with clear, actionable insights. This is a high-autonomy role for someone who’s low-ego, relentlessly curious, and energized by intense, high-leverage work. Tech stack: SQL, Python What You’ll Do: • Own strategic projects end-to-end: scope, analyze, prototype, ship, measure., • Build models and decision tools that directly impact growth, unit economics, and operational throughput., • Define core metrics & data sources so teams can answer complex questions in real time., • Turn internal workflow data into throughput forecasts, bottleneck detection, and automation roadmaps., • Prototype AI/ML approaches (e.g., outcome prediction/optimization) with engineering., • Ship external-facing data products and present insights to Fortune 100 partners., • Work directly with leadership on trade-offs between speed, quality, and profitability. What We’re Looking For: • 4–8+ years in data science / analytics / ML with proven business impact., • Expert in SQL and strong Python (pandas, NumPy; bonus for scikit-learn/ML ops)., • Experience owning ambiguous problems from zero → one → scaled adoption., • Business athlete: communicate crisply, influence cross-functionally, and prioritize ruthlessly., • Comfort presenting to executives and enterprise customers. Why You’ll Love It • Massive scope: product, GTM, ops, and exec decision support., • Ship fast with true ownership and visible impact., • On-site, collaborative culture in SoHo, NYC. Benefits: • Fully covered medical, dental, and vision, • 401(k), FSA, commuter benefits, • Unlimited PTO + 16 weeks parental leave, • One Medical, Talkspace, Teladoc, Kindbody memberships, • Daily office lunch; dinner provided after 7 pm

Job DescriptionCompany Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. Job Description We are looking for a Lead Data Scientist to spearhead data science initiative focused on media and cable networks. In this role, you will develop and optimize data-driven engagement and retention models to minimize subscriber churn and accelerate subscription growth. You will collaborate closely with business stakeholders to gather requirements, translate business needs into technical solutions, and clearly communicate insights and recommendations to non-technical leadership. Your work will directly influence marketing, content, and pricing strategies to improve customer retention and lifetime value. Job Duties * Leverage structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. * Develop and deliver impactful analytical tools and solutions leveraging statistical modeling, machine learning, and data science to uncover business insights and support strategic decision-making. * Design and apply advanced predictive and machine learning models; including clustering (K-means, hierarchical), classification (KNN, Naive Bayes, CART), time series forecasting, logistic regression, and econometric models to optimize pricing strategies, assess price elasticity, segment customers, and enhance revenue across channels. * Leverage generative AI and large language models (LLMs) to develop and implement personalized content and messaging strategies across diverse media channels, enhancing audience engagement and campaign effectiveness * Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy such as accuracy, sensitivity, specificity, ROC, AUC. * Analyze consumer behavior trends and shifts across various digital touchpoints; perform cross-channel attribution analysis to inform targeted retention strategies. * Monitor and analyze key engagement metrics to assess the performance of subscriber onboarding programs and their impact on long-term retention. * Interpret complex analytical insights and translate them into clear, actionable business strategies that improve business outcomes. * Support scalable deployment of data products by following best practices in CI/CD processes and contribute to agile project management through tools like Jira for sprint planning, tracking, and team coordination. * Collaborate cross-functionally with technical and non-technical stakeholders to gather requirements, define project scope, and lead data science initiatives, demonstrating strong communication, leadership, and team-building skills Qualifications * Master’s or PhD in data Science, statistics, computer science, or related quantitative field. * 5+ years’ experience in data science roles with demonstrated impact on retention, engagement, or churn reduction. * Advanced skills in Python/R, SQL, and experience with ML libraries (scikit-learn, XGBoost, TensorFlow/PyTorch). * Strong background in building predictive churn models, CLV, causal inference and uplift modeling * Leverage cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Spark, Hive, Databricks), staying current with evolving technologies and Databricks’ architecture for scalable data science workflows. Desired Qualifications * Familiarity with third party data such as comScore, Nielsen, IMDb, Gracenote, or similar platforms to enhance content performance analysis and audience insights is a plus * Experience in content analytics within subscription-based media and direct-to-consumer (DTC) products * Experience building personalization engines or recommendation systems in digital subscription environments. Additional Information: • Travel may be required for this position for company or department meetings., • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on Manager discussion or business need. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Salary range: $145,000 - $175,000 (bonus eligible) Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . Although you'll be hired as an NBCU employee, your employment and the responsibilities associated with this job likely will transition to Versant in the future. By joining at this pivotal time, you'll be a part of this exciting company as it takes shape.

Job DescriptionCompany Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. Job Description The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive. As a Senior Data Scientist on the Media Group Decision Sciences team, you will help design and deliver of data-driven insights and solutions that enhance audience engagement across streaming and linear platforms. This role involves close collaboration with data scientists, engineers, analysts, and stakeholders, and requires strong technical and communication skills to develop scalable solutions. By applying advanced statistical methods and machine learning techniques, you will drive improvements in content engagement, marketing efficiency, and distribution effectiveness, playing a key role in how the company reaches and retains its audiences. Responsibilities: • Develop and deliver impactful analytical solutions and tools using statistical modeling, machine learning, and data science techniques to uncover audience insights and support decision-making., • Translate complex business problems into data-driven approaches by partnering with cross-functional teams (e.g. Advanced Analytics, Content Strategy, Consumer Insights, etc.) and communicating findings clearly to technical and non-technical audiences., • Contribute meaningfully to project execution, including scoping, data exploration, modeling, validation, and documentation across both ad hoc and recurring workflows., • Advance the team’s analytical rigor and technical standards by contributing to methodology development, peer reviews, and collaborative problem solving., • Think critically and rigorously about leveraging available data effectively, identifying opportunities for deeper audience understanding and improved business outcomes.Qualifications, • Bachelor’s or Master’s degree in a quantitative or technical field (e.g. Computer Science, Mathematics, Data Science, Economics, or related discipline)., • 2+ years of experience applying statistical and machine learning methods for inference and prediction in a professional setting., • Proficiency in Python and SQL, with experience working in cloud-based data environments such as BigQuery or PySpark., • Demonstrated experience using relational databases and applying data visualization techniques to communicate analytical insights., • Strong communication and collaboration skills, with the ability to work effectively with cross-functional stakeholders, translating business needs to analytical approaches and delivering clear, actionable insights., • Experience designing and deploying scalable data and machine learning pipelines, ideally in cluster computing environments such as Databricks or Google Cloud Platform and orchestration tools like Airflow., • Strong oral and written communication skills, with the ability to explain complex concepts to diverse stakeholder through clear narratives, well-structured documentation, and effective data visualizations using tools such as Tableau., • Strong sense of curiosity, accountability, and execution, with the ability to lead and contribute to projects of various sizes with clarity and purpose. Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $120,000 - $150,000 Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to .

Job DescriptionDescription: Data Analyst Full-Time Hybrid, New York City Who We Are: We believe in small businesses and the people who grow them. At Credibly, we leverage cutting-edge data science, technology, partner relations, and customer support to provide business owners with accelerated access to right-sized capital solutions. From working capital loans and merchant cash advances to lines of credit and business expansion loans, we offer a suite of financing products that can accommodate nearly any stage of business development or credit profile. Founded in 2010 with offices in Michigan, New York, and Arizona, we have provided access to over $1 billion to more than 20,000 small businesses nationwide. On top of being nominated as one of Crain’s 50 fastest growing companies in New York and making several appearances on the Inc. 500 list, Credibly is annually recognized for having one of the "Best Blogs For Small Businesses" by several media outlets. The Opportunity: The Data Analyst will join the Risk Analytics and Data Science organization, and will be responsible for delivering trusted analytics to drive the business forward. The successful candidate will be a business-oriented, collaborative, high-energy data analyst who is passionate about working with business partners and bringing transparency into the data across the organization. What You Will Do: This position does not offer visa sponsorship. Candidates must be authorized to work in the U.S. on a permanent basis. • Collaborate with the business to execute on identified opportunities by performing exploratory data analyses (EDAs), generating, and testing working hypotheses, preparing, and analyzing historical data and identifying patterns to drive revenue and cost savings., • Employ historical data/insights to make informed estimates in helping determine the direction of future trends for the business., • Effectively manage multiple assignments with challenging timelines within a collaborative environment., • Develop and maintain reports that provide insights across the business., • Support the efforts of leadership to ensure our data and analyses are trusted by helping to champion high standards, transparency, and regular communication with the business., • Keep up with the latest trends in advanced analytics., • Explore and test additional/new data sources that may add value. Who You Are: • At least a Bachelor’s degree in a quantitative field such as computer science, data science, statistics, or physics., • 1+ years of experience as a data analyst/data scientist in industry., • Working knowledge of Python, SQL and Microsoft Office tools., • Strong analytical, critical thinking, and creative problem-solving skills., • Excellent written and verbal communication skills, and proven presentation skills. Ability to relay information to senior management in a succinct, insightful way., • Flexible and productive in a hybrid working arrangement. What Makes You Special: • At least a Masters Degree in a quantitative field., • Experience in Banking or risk management., • Working knowledge of Statistical methodologies., • Experience in data engineering., • Experience in developing Machine Learning and AI solutions. How You Will Benefit: • Flexible working conditions, via hybrid remote/in-office work, • Generous PTO package, • 8 Paid Company Holidays, • Paid Parental Leave, Bereavement, and Jury Duty, • 401k with company match (and 100% vesting after 2 years), • Medical insurance through BCBSM or BCN, • Dental and Vision provided by BCBS, • HSA and FSA available, including LPFSA and Dependent Care, • Company paid life insurance and short-term disability, • Additional optional insurancesRequirements:

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high-impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data-driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision-making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists. Responsibilities: • Lead the design and execution of data science projects that solve complex business problems across critical workflows., • Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning., • Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities., • Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM-based analytics, simulation modeling, RAG for knowledge discovery)., • Collaborate with ML engineers to scale prototypes into production-ready systems, ensuring reliability, fairness, and generalizability., • Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact., • Communicate findings through compelling data storytelling, dashboards, and executive-level presentations., • Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations., • 8+ years of experience in data science or applied statistics roles, with a proven track record of driving measurable business impact., • Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling., • Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management., • Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels)., • Solid foundation in SQL and data wrangling across large, complex datasets., • Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly)., • Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus., • Exceptional ability to translate technical results into clear, actionable insights for senior executives and non-technical audiences., • Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Experience: • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks)., • Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups., • Experience mentoring teams at scale and establishing standards for reproducibility, experimentation, and responsible AI., • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. This is an onsite position, with flexibility, based in our New York City office. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at . The Preclinical Principal Scientist will serve as a key scientific contributor, subject matter expert (SME) and Project Manager in the execution of Cresilon’s Preclinical Research Operations, including but not limited to in-vivo study design (Safety and Efficacy/Functionality evaluations), Preclinical Research Management, Vendor Management, and Preclinical Regulatory Strategy. This will include the development and execution of strategies for preclinical evidence necessary to competitively position a project’s product for domestic and international regulatory and clinical acceptance. This position as a hybrid role, with work off-site at CRO in NY/NJ area, work from home and on-site at Brooklyn NY. Job Responsibilities: The Preclinical Research Scientist will: • Lead, staff, and manage Cresilon’s Preclinical Research activities., • Provide preclinical scientific input and leadership on the evaluation of physical safety and efficacy for technologies and products at all stages of the product life cycle., • Plan, direct, coordinate and execute activities related to the design, initiation and follow-up of studies to support approval of Class I-III medical devices., • Develop, write, and/or review study protocols and reports. Act as technical mentor for the development of study experimental designs, protocols, and reports of junior associates., • Administrate and manage Cresilon preclinical regulatory strategy and communication., • Work with Contract Research Organizations (CROs) to execute both Biocompatibility / Safety and Efficacy/Functionality research, including negotiating, drafting, and managing research contracts and agreements with pre-clinical trial sites., • Ensure that company operates within the scope of regulatory compliance including Quality System Regulations (ISO 13485), health and safety, environmental protection regulations, and the core values of Cresilon., • Be a Subject Matter Expert (SME) for preclinical research department growth strategy. Actively interact with the internal and external scientific community to maintain state of the art knowledge., • Oversee the development of and modifications to preclinical models to address project needs., • Oversee the design and execution of preclinical functionality and safety in-vivo studies per project timelines., • Surveys the literature to identify and compare competitive product performance and safety risks., • Maintain current knowledge in existing regulations, requirements and standards, including but not limited to global regulatory requirements (ISO, FDA, etc) and compliance requirements (GLP, USDA, AAALAC, departmental SOP's, company policies, etc), • Work cross functionally with Regulatory and Quality to assess project risks, product safety and efficacy on NPD projects, including ensuring external facilities meet Cresilon standards for animal use and generating contracts and CRO audits, if necessary., • Manage budgetary requirements for all research projects to support efficacy and safety programs., • Lead the effort to publish surgical research in peer-reviewed journals., • Regularly interface with management to ensure research operations reflect overall corporate vision/strategy., • DVM, PhD or MD in a relevant discipline is preferred. A Bachelor's in a technical or scientific field is required., • Minimum 6+ years’ experience in preclinical medical device research is required, preference given to veterinary surgical or human surgical experience., • 4+ years of people management experience preferred., • Extensive knowledge of surgery, anatomy, toxicology, and pathology is required., • Experience with planning, directing, and coordinating activities related to studies to support approval of Class I-III medical devices is highly preferred., • Experience in a medical device, pharmaceutical, or related setting with a proven record of success in supporting studies for R&D projects is highly preferred., • Strong knowledge of ISO-10993 Standards, FDA Guidance and Regulations, and Animal Welfare Regulations., • Experience with surgical publication submission strategy is strongly preferred., • Strong communication skills (both written and verbal) is required with the ability to extract key facts from complex information and present concise summaries to management., • Demonstrated experience with large animal in vivo surgical research and CRO vendor management is required., • Previous experience in authoring and reviewing nonclinical regulatory documents as well as interactions with regulatory authorities is strongly preferred., • Excellent problem solving, conflict resolution, and analytical skills is required., • Ability to work effectively both independently and collaboratively in a dynamic team-oriented environment is required., • Prior experience and ability to work well with external CROs and collaborators with professionalism and discretion is required., • Requires strong leadership and organizational skills including attention to detail and multi-tasking skills., • Able to understand and execute to project details but keep overall “big picture” view of projects, priorities, and strategies is required., • Medical Device product development experience, including knowledge of medical device regulations, regulatory/notified body requirements is preferred., • Good Laboratory Practices (GLP) experience preferred and working knowledge of Good Manufacturing Practices (GMP), • Experience in developing and commercializing regulated devices under Design Control (21 CFR 820) requirements, GLP/GMP, and ISO regulations is preferred., • Hands-on research experience with hemostatic devices and/or coagulation chemistry, strongly preferred., • Legal authorization to work in the United States., • This position is located in Brooklyn, NY and may require up to 30% travel (to monitor and execute out-sourced studies) Cresilon is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits • Competitive annual base salary range of $130,000 - $210,000, depending upon job level and qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

FOOD SCIENTIST SPECIALIST – HEAD OF R&D We are seeking a detail-oriented, innovative Food Scientist Specialist to join our team and support the development, safety, and quality of our products using modern tools like FlexiBake and PRIMS. Position Summary As a Food Scientist specialist at Carlo’s Bakery, you will be responsible for developing and improving food products, optimizing formulations, ensuring food safety and compliance, and supporting sustainability in food production. You will use your expertise in food science, along with systems like FlexiBake and PRIMS, to collaborate with cross-functional teams and ensure our products meet both consumer expectations and regulatory standards. This role is also responsible for overseeing the day to day operations of the R&D department. Key Responsibilities Product Development & Innovation • Create new products: Develop concepts and formulations for innovative bakery and savory items based on market trends and consumer insights., • Improve existing products: Enhance taste, texture, shelf-life, and nutritional value of current offerings., • Specialize in flavor profiling, balancing taste, aroma, and texture for consumer appeal., • Select, test, and qualify new raw materials., • Maintain and update recipes, specs, and BOMs using FlexiBake and PRIMS., • Ensure safety: Inspect raw ingredients and final products for compliance with food safety and quality standards., • Monitor quality: Analyze food samples for nutrition, quality, and adherence to regulatory standards., • Ensure accurate nutrition labeling in compliance with FDA and USDA regulations., • Contribute to sustainable practices in ingredient sourcing and production processes., • Work with Production, Marketing, Procurement, Operations, Logistics, R&D and QA teams to launch and refine products. Qualifications • Bachelor’s degree in Food Science, Nutrition, Food Technology, or related field., • 3–5 years of experience in food product development; bakery experience highly preferred., • Proficiency with Nutrition database systems and production management systems., • Solid understanding of food labeling laws and regulatory compliance (FDA/USDA)., • Strong experimental design and analytical skills., • Excellent organizational and communication abilities., • Demonstrated ability to manage multiple projects in a fast-paced environment., • Experience in an SQF environment preferred.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.About the Role We're looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes. Key ResponsibilitiesModel Development & Optimization • Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods., • Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling., • Develop tools to support scenario modeling, revenue forecasting, and price testing simulations.Experimentation & Testing, • Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations., • Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques., • Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.Insight Generation & Strategy Support, • Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies., • Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers., • Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence.Cross-functional Collaboration, • Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences., • Translate complex technical findings into actionable business recommendations for stakeholders across the org., • Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews. What You BringRequired Qualifications • 5+ years of experience in data science, pricing analytics, or quantitative strategy roles., • Advanced proficiency in Python or R, SQL, and statistical modeling techniques., • Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences)., • Solid understanding of pricing theory, elasticity modeling, and optimization.Skills & Attributes, • Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses., • Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences., • Self-starter with a passion for experimentation and continuous improvement.Preferred, • Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred)., • Experience in a consumer-facing marketplace, e-commerce, or SaaS environment., • Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms. Why This Role Matters Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Other related fields include, but are not limited to: Formulation Scientist, Development Chemist, Analytical Chemist, Chemical Engineer, Medicinal Chemist, Biochemist, Process Development Chemist.

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