Senior Manager of Data Science - Product Analytics

ABOUT THE ROLEPeloton is embarking on an exciting new journey, transitioning from a leader in connected fitness to a holistic wellness ecosystem, fueled by groundbreaking innovation and data analytics. Our unwavering mission is to empower our global community to lead healthier, happier, and more fulfilling lives. As we reshape the future of health, we seek visionary leaders ready to create the frameworks that will enhance our world-class member experiences.Within our user-focused, results-oriented Product organization, the Product Analytics team plays a crucial role in providing strategic insights, robust reporting capabilities, and A/B testing to guide our direction and product roadmap. The Senior Manager will lead a range of monetization and product analytics initiatives designed to effectively enhance Peloton’s member engagement while steering analytical efforts to refine our product strategy.We are in search of a Senior Manager, Product Analytics, who will take charge of high-impact projects, establish foundational frameworks, and manage a dedicated team of analysts.YOUR DAILY IMPACT AT PELOTONCollaborate closely with the Product Management Organization and key stakeholders to understand their business goals, translating them into actionable solutions (e.g., exploratory data analyses, new KPIs, business intelligence, and data science) while gaining stakeholder alignment and support.Act as a thought partner and consultant for the Performance Marketing and Product Marketing functions by proactively uncovering strategic insights and analytical solutions that promote growth in member engagement.Enhance and refine Peloton’s product strategy by delivering precise, timely, and high-quality analytics.Oversee the development and presentation of insightful reports and KPIs for business reviews and leadership updates.Utilize industry best practices to optimize engagement strategies at Peloton through effective data utilization and insights.Support experimentation initiatives by partnering with Product Managers to establish effective A/B or multivariate tests, executing post-experiment success measurements and statistical evaluations.Lead an engaged and high-performing team of product analysts and data scientists.Mentor and develop team members, both technically and strategically, on industry best practices such as statistical modeling, exploratory data analysis, and experimentation analytics.Create a culture of excellence and inspire the team to elevate their performance.

Tiger Analytics is a leading advanced analytics consulting firm that serves as a trusted partner to numerous Fortune 100 companies, helping them unlock valuable business insights from their data. Our team of expert consultants specializes in Data Science, Machine Learning, and AI, and we have been recognized by prominent market research firms such as Forrester and Gartner for our impactful contributions to the industry. We are dedicated to solving complex analytical challenges at scale, earning a strong reputation for delivering data-driven solutions across various sectors, particularly in Pharma and Life Sciences.If you're enthusiastic about utilizing analytics to tackle significant challenges within the Pharma & Life Sciences domain, this role offers a unique opportunity to make a difference. Join us in transforming the healthcare landscape through innovative analytics.ResponsibilitiesLead initiatives driven by AI and analytics to address intricate business challenges for clients in the Pharma and Life Sciences sectors.Manage and mentor diverse teams, including consultants, analysts, data scientists, and ML engineers.Collaborate closely with client stakeholders and onsite teams to grasp business priorities and challenges.Facilitate workshops with clients to pinpoint high-impact business issues that can be solved using AI and advanced analytics.Convert ambiguous business requirements into precise and actionable analytical problem statements.Oversee the delivery of commercial analytics use cases, including MMX, NBX, digital transformation, patient segmentation, payer segmentation, and patient journey analytics.Ensure high-quality execution and timely delivery of projects with measurable business outcomes.Present insights, recommendations, and results to senior stakeholders within client organizations.

Tiger Analytics is seeking a Senior Data Scientist with a focus on Agentic AI. This remote position is based in New York, New York. Role overview This role centers on applying advanced analytical methods to complex datasets. The Senior Data Scientist will use machine learning, statistical modeling, and data visualization to help clients make informed business decisions. What you will do Analyze large and varied datasets to uncover actionable insights Apply machine learning and statistical modeling techniques Develop data visualizations that clarify findings for clients Support clients in using AI to improve their business operations Requirements Expertise in machine learning, statistical modeling, and data visualization Experience working with complex datasets Background in Agentic AI is essential

About the Role DoorDash is hiring a Manager of Data Science to join the Logistics Analytics team. This leader will use data insights to improve logistics operations and delivery efficiency. The role involves managing a team of data scientists and working with partners across the company to support strategic projects and roll out new solutions. Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX Washington D.C. What You Will Do Lead and mentor a team of data scientists focused on logistics analytics Collaborate with cross-functional teams to support key business initiatives Apply data analysis to optimize logistics and boost delivery performance Drive implementation of new solutions that improve operational efficiency

Role Overview Mercury is hiring a Senior Data Science Manager to guide key data initiatives as the company continues to grow. This role leads a skilled team of data scientists, applying advanced analytics to uncover insights that shape strategy and improve how the business operates. What You Will Do Lead and mentor a team of data scientists Use analytics to inform strategic decisions and drive operational improvements Work with teams across the company to find ways data can strengthen products and services Location This position is open to candidates based in San Francisco, CA; New York, NY; Portland, OR; or remote within Canada or the United States.

Join Headway as a Senior Data Science Manager specializing in enhancing Customer Experience. In this pivotal role, you will lead a team of skilled data scientists to leverage data insights that drive customer satisfaction and loyalty. Your expertise will be crucial in developing innovative strategies that improve customer interactions and overall experience.At Headway, we are at the forefront of transforming customer experiences through data-driven decisions. We value creativity, collaboration, and a passion for problem-solving. If you are ready to make a significant impact in a dynamic environment, we want to hear from you!

Join our dynamic team at Sonsoft Inc. as a Data Science Analytics Associate! In this exciting role, you will leverage data to derive actionable insights that drive strategic decisions. You will work with cutting-edge analytics tools and collaborate with cross-functional teams to enhance our data-driven initiatives.

SENIOR PRODUCT MANAGER, DATA ABOUT CURRENT Current is a pioneering consumer fintech platform dedicated to revolutionizing financial access for everyday Americans, boasting over five million members. Our mission is to provide seamless financial solutions that cater to the diverse needs of our members, empowering all Americans to construct better financial futures. Headquartered in NYC, we thrive in a results-oriented environment that motivates us to innovate superior products, accelerate growth, and empower our team members to make a significant impact on our business and our mission to enhance financial outcomes. ABOUT THE ROLE In the role of Senior Product Manager, Data, you will play a crucial leadership role at the nexus of data and various departments. Your primary objective will be to architect and scale internal data platforms and tools that facilitate informed decision-making and product advancement across Current. Your responsibilities will include overseeing the internal data science and analytics tooling roadmap, with an emphasis on boosting adoption and utilization across diverse cross-functional teams. This position entails spearheading the strategic development of a scalable enterprise data warehouse and analytics framework to guarantee efficient and reliable data access throughout the organization. You will work closely with data analysts, data scientists, analytics engineers, finance leaders, product managers, and other business stakeholders to produce high-impact data products that drive smarter decision-making and enhance business results. RESPONSIBILITIES Lead the data product roadmap for internal data platforms, including the data warehouse, analytics tools, reporting, and machine learning infrastructure. Deliver innovative and scalable solutions by aligning complex data systems with internal business requirements. Collaborate with data analysts, analytics engineers, and business stakeholders to establish priorities for the enterprise data warehouse and data marts. Manage cross-functional relationships, effectively communicating product vision and aligning objectives. Understand business requirements across Product, Finance, Credit, Risk, and Marketing to deliver impactful data products. Drive the creation of data tools, frameworks, and processes that yield actionable insights and provide business value. Promote the adoption of analytics tools and frameworks across the organization. Prioritize data discovery to ensure essential datasets, reports, and models are developed first. Partner with Finance to create a trusted financial data mart for unit economics and forecasting. Define strategy for machine learning initiatives; oversee scoping, delivery, and monitoring.

Join our team at Sonsoft Inc. as a Data Science and Analytics Specialist, where you will play a pivotal role in transforming data into actionable insights. You will leverage your analytical skills to drive strategic decision-making and improve business outcomes. Your expertise in data analysis and visualization will help us to enhance our operational efficiency and deliver exceptional results.

At January, we are revolutionizing consumer finance by infusing empathy into our offerings. Our innovative, data-driven solutions enable financial institutions to enhance their collections processes, providing borrowers with clear, compassionate pathways to reclaiming financial stability and control over their lives. We are not merely expanding access to credit; we are restoring dignity and empowering millions to achieve true financial freedom.About the RoleAs the Lead Data Scientist in Product Analytics, you will be pivotal in influencing our product strategy through comprehensive data analysis, visualization, modeling, and experimentation. Collaborating closely with product managers, your insights will directly shape the journey for users striving to overcome debt and regain financial stability.What You’ll Work OnYou will serve as a strategic partner to product managers, empowering them to make informed, data-centric decisions, conduct experiments, and assess the evolution of our critical success metrics. You will develop expertise in our datasets, providing impactful recommendations to enhance our products and processes. Additionally, you will help bolster January’s reputation as a sophisticated, data-focused collection agency, collaborating with the operations team to ensure our client success managers are well-equipped to address inquiries and engage in client conversations seamlessly.What You Bring to the TableA minimum of 2 years of experience utilizing SQL for data analysisProficiency in programming languages such as Python or R for conducting advanced statistical analysesStrong medium to advanced knowledge of statistics related to experimentationAbility to present data compellingly, enabling product and engineering teams to make superior decisionsStrategic thinker, considering the broader impact of your work on January’s overall successSelf-starter; able to independently explore and provide insightful recommendations based on data We are excited to welcome a new team member in our New York office.As a company rooted in New York City, we champion transparent, equitable compensation practices that reflect our commitment to fostering an inclusive environment where every team member can thrive.

About Us:At DailyPay, we are revolutionizing the payment landscape. As a leading worktech company and the foremost solution for on-demand pay, we leverage our award-winning technology platform to empower top employers across America in fostering stronger relationships with their employees. Our innovative voluntary employee benefit enhances workforce motivation, encouraging employees to perform better and remain committed while supporting their financial health outside of work.With our headquarters in New York City and operations extending throughout the United States and Belfast, we invite you to explore more at DailyPay's Press Center.The Role:We are seeking a Senior Data Analyst to join our dynamic Data Team! In this pivotal role, you will harness diverse data sources to extract actionable insights and formulate strategic recommendations that drive business value. Collaborating closely with internal teams such as Sales, Marketing, Product, and Customer Success, you will also play a crucial part in enhancing client success by contributing to the development of customer-facing data products and analytics.The mission of the Data Team is vital to the ongoing evolution and success of our product, addressing the needs of our customers and partners while ensuring DailyPay's leadership in the early wage access industry. As a Senior Data Analyst, you will be instrumental in realizing this vision.If you're passionate about data and its impact, we encourage you to apply even if you feel you don't meet every single qualification.Your Impact:Lead Advanced Analytics Initiatives: Take charge of complex analytics projects, proactively identifying opportunities to deliver actionable insights that influence strategic business outcomes.Translate Data into Strategic Recommendations: Move beyond mere reporting by providing comprehensive analyses and clear, data-driven recommendations that shape critical business decisions.Cross-Functional Collaboration: Work alongside stakeholders across various departments to understand their needs, define requirements, and deliver impactful analytics solutions.Mentoring and Leadership: Foster the development and training of the analytics team in strategic problem-solving skills.What You Bring:Proven Experience: Demonstrated expertise in data analytics with a strong ability to interpret and analyze complex data sets.Technical Proficiency: Familiarity with analytics tools and software, as well as programming languages such as SQL or Python.Strong Communication Skills: Ability to convey complex ideas clearly to stakeholders at all levels.

Join our dynamic team as the Director of Data Science Analytics & Integration, where you will lead innovative projects that harness the power of data to drive strategic decision-making and enhance operational efficiency. In this pivotal role, you will oversee the development and deployment of cutting-edge analytics solutions, guiding a team of talented data professionals to deliver actionable insights across various sectors.As a key leader, you will collaborate closely with cross-functional teams to integrate data-driven strategies into business processes, ensuring alignment with organizational goals. Your expertise in data science methodologies and tools will empower you to mentor staff, fostering a culture of continuous improvement and innovation.

Profound creates tools that help companies understand and manage their AI presence. The team focuses on giving marketing professionals clear insight into how brands perform across AI-driven platforms. Role overview The Product Manager, Analytics, leads the entire product lifecycle for analytics solutions at Profound. This position shapes product ideas, drives execution, and delivers features that make a difference for customers. The role has a direct impact on both the analytics product line and the company’s broader direction. What you will do Own analytics products designed for marketing teams to measure brand performance on AI answer engines. Manage core offerings, including Answer Engine Insights (AEI), Agent Analytics (AA), and Prompt Volumes (PV). Define and refine metrics related to brand performance, share of voice, and content health. Work closely with customers to ensure analytics tools provide actionable insight into AI presence. Collaborate with engineering and design teams to deliver features that distinguish Profound as a central resource for brand analytics in the AI space. Location This role is based in New York, New York.

About CookUnity:CookUnity was born out of a desire to restore the soul of food, connecting people with chefs who create meals that nourish, inspire, and unite us. Since its inception in 2018, CookUnity has emerged as a pioneering platform delivering 50 million meals annually from top-tier chefs to homes across the nation. Our meals are fresh, ready-to-eat, and crafted with care, embodying the essence of nourishment that transcends the plate.As we continue to evolve, CookUnity is setting its sights beyond meal delivery, transforming into a dynamic marketplace with the mission to empower chefs to nourish the world.If this mission resonates with you, we invite you to explore this exciting opportunity.The Role:We are in search of a Senior Manager, Data Science and Machine Learning to spearhead the next chapter of innovation at CookUnity. This role transcends conventional analytics; you will architect the machine learning and experimentation framework necessary for delivering personalized and intelligent product experiences at scale.In this pivotal position, you will define the strategic vision that guides our data science initiatives and product roadmap. You will lead a dedicated team focused on predictive modeling, personalized experiences, experimentation frameworks, and cutting-edge machine learning capabilities that enhance customer engagement, retention, and lifetime value. This high-impact role is designed for an individual who can think strategically about the future of product science while actively driving technical implementation.

Eurofins Scientific seeks an Analytical Sciences Data Review Group Leader based in Rensselaer. This position oversees a team responsible for reviewing analytical data and ensuring its accuracy. Role overview The Group Leader manages daily data review activities, guiding team members as they check laboratory results for precision and completeness. This role helps maintain the laboratory’s quality and compliance standards by verifying that all analytical data meets required guidelines. Key responsibilities Lead a team focused on analytical data review Verify the accuracy and integrity of laboratory data Support ongoing quality and compliance efforts Location This position is based in Rensselaer.

Update January 9, 2025: We are excited to announce that this position is still open! If you're interested, we encourage you to apply!Nova Credit is at the forefront of credit infrastructure and analytics, empowering businesses to grow responsibly by utilizing alternative credit data. Our innovative data infrastructure, coupled with industry-leading analytics and FCRA compliance, allows lenders to bridge the gaps in traditional credit assessments. We provide access to the fragmented landscape of consumer financial data, transforming it into compliant, actionable risk analytics through a range of solutions that enhance conversion rates through broader coverage, rapid processing, and dependable insights.Supporting over 7,000 businesses, including major organizations like HSBC, SoFi, Scotiabank, Appfolio, and Yardi, Nova Credit enables smarter credit decisions via solutions such as Cash Atlas™ for cash flow underwriting, Income Navigator for swift income verification, and Eligibility Compass for asset verification. Our commitment to innovation and excellence has earned us recognition in Forbes’ Fintech 50 in 2025 and Built In’s Best Places to Work, 2025.At Nova Credit, we foster a dynamic and inclusive workplace where you can significantly impact the lives of individuals historically marginalized from the credit system. We value diversity, intellectual honesty, and innovation, and we are dedicated to the professional growth and development of our team members. If you are passionate about leveraging technology to promote financial inclusion, we want to hear from you!As a key member of the Go-To-Market team, you will play a critical role in engaging and educating prospects throughout the sales process. As a consultative product expert, you will assist potential clients in unlocking business value by engaging senior stakeholders on credit policy, product usage, and performance analysis. Your role will involve strong collaboration across Sales, Product, and Data Science departments. You will connect with our global target audience in the US, Canada, the UK, the UAE, and Singapore.The ideal candidate will have a solid background in financial services, particularly within credit risk modeling and credit policy. As the Senior Manager of Data Science Consulting, you will ensure that our prospects fully comprehend our product offerings and how to effectively integrate them into their existing strategies.

Ekimetrics stands at the forefront of data science and AI solutions, dedicated to optimizing marketing and enhancing business performance since 2006. We are committed to fostering sustainable growth through innovative data-driven strategies.If you're passionate about solving complex business challenges using data and AI, and eager to shape your professional journey, Ekimetrics is the perfect place for you!At our New York office, we specialize in Marketing Analytics and the implementation of our ‘MMO’ (Marketing Mix Optimization) services, drawing upon our analytics-as-a-service expertise and proprietary data and AI platforms. With a team of over 400 professionals from diverse backgrounds (business, data, technology), we ensure seamless integration between strategy and execution, resulting in expedited delivery and measurable business impact. Key Highlights of Ekimetrics:· 400+ data science experts globally· 1000+ diverse projects & 350+ clients· 5 offices: Paris, Hong Kong, Shanghai, London, and New York· Awarded UK Data Company of the Year 2023· Recognized as a Great Place to Work 2023· Partnered with Microsoft for sustainability initiatives· Voted as a leader in “Marketing Measurement & Optimization” by Forrester Wave 2023

Oscar Health is hiring a Senior Manager of Data Science to join the Data Team in New York City. Role Overview The Senior Manager of Data Science leads a team of data scientists and analysts, connecting data insights with business needs. This position partners closely with Sales, Marketing, and Strategic Finance to refine and advance Oscar's growth strategies. Key projects include modeling growth funnels, building predictive models for customer churn, and ensuring that market analysis supports Oscar’s overall goals. This role reports to the Director of Data Science. Work Location This is a hybrid position based in Oscar Health’s New York City office. In-person attendance is required three days each week. Thursdays are mandatory for team meetings and events. The other two in-office days are flexible. Compensation and Benefits Base salary: $180,504 to $236,911.50 per year Comprehensive benefits package Unlimited vacation program Company equity grants Annual performance bonuses About Oscar Health Founded in 2012, Oscar Health is building a technology-driven health insurance experience focused on personal, supportive care for its members.

Join Analytic Partners as a Consultant in Marketing Science Analytics, where you will leverage your analytical skills to drive impactful decision-making for leading global brands. With nearly 25 years of experience, we specialize in transforming data into actionable insights, enabling our clients to unlock their growth potential. Our team of experts utilizes a cutting-edge platform to provide comprehensive solutions, ensuring that our clients can make informed decisions swiftly. As part of our Customer Engagement Team, you will play a vital role in shaping the future of analytics in various industries. With a diverse client base spanning over 50 countries, we have established offices in major cities including Miami, Dallas, Dublin, London, Paris, Singapore, Shanghai, Munich, Poznan, Sydney, Melbourne, Charlottesville, and Denver. This is an exciting opportunity to join a fast-growing company that is recognized as a leader in the marketing analytics space by independent research firms such as Forrester and Gartner. To explore more about our innovative approaches, visit analyticpartners.com.

Role Overview DoorDash is hiring a Data Science Manager to lead a team of data scientists working on projects that use data to improve DoorDash’s services. This role involves managing team members, setting direction for analytical model development, and shaping strategies that influence decisions across the company. What You Will Do Oversee and mentor a team of data scientists Guide the development of analytical models and data-driven strategies Work with teams from different departments to spot opportunities for improvement Deliver insights that help DoorDash connect people with top local options Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX