Senior Data Science Manager

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.

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

Join headway as a Senior Manager of Data Science specializing in Finance & Accounting. In this pivotal role, you will lead a team of data scientists to develop innovative analytics solutions that empower decision-making and drive efficiency across financial operations. You will harness advanced data modeling techniques to analyze financial data and implement data-driven strategies that optimize performance.As a leader, you will mentor junior data scientists, fostering a culture of continuous learning and improvement while collaborating with cross-functional teams to align data science initiatives with business goals.

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!

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.

Stripe builds financial infrastructure that powers businesses of every size, from startups to global enterprises. The platform supports millions of companies as they accept payments, grow revenue, and pursue new opportunities. Stripe’s mission centers on expanding the online economy and increasing economic access for all. The Growth Data Science team partners with product and engineering leaders to help businesses launch and grow on Stripe. This group focuses on improving user journeys, beginning with first awareness and continuing through acquisition, adoption, expansion, and retention. The team is recognized for expertise in experimentation, advanced causal analysis, and a deep understanding of user behavior. Collaboration spans Product, Engineering, Sales, Marketing, Developer Platform, Support, and Risk teams. Role overview The Data Science Manager, Growth, guides the team’s direction and impact. This leader contributes directly to modeling and design, while also coaching and developing data scientists. The role requires a strong focus on users, technical depth, and the ability to communicate clearly with both technical and non-technical partners, including senior leadership. Key responsibilities Define the roadmap and priorities for the Growth Data Science team in partnership with Stripe leaders, supporting data-driven decision-making. Collaborate with stakeholders in engineering, analytics, operations, finance, and marketing. Manage and improve processes to ensure the team delivers high-quality work and remains connected to the broader Stripe community. Lead and mentor a team of data scientists, supporting their technical growth and career development. Work with recruiting to hire and onboard new data science talent. Participate in broader data science initiatives as part of Stripe’s management team. Location This position is based in Seattle, WA; New York, NY; or can be remote within North America.

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.

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.

At StubHub, we are dedicated to transforming the live event experience on a global scale. Our mission is to ensure that whether someone is attending their first event or their hundredth, we provide unmatched delight from the moment they start searching for tickets until they step through the gate. We equally prioritize our sellers, from fans offering a single ticket to promoters of worldwide stadium tours, making StubHub the safest and most convenient platform for millions of fans across the globe.The Data Science team, a vital part of the broader StubHub Data organization, is seeking a seasoned and dynamic Data Science Manager to lead a growing team (currently consisting of 6 members, spanning from entry-level data scientists to senior staff) across diverse data science disciplines.As the largest secondary ticketing marketplace worldwide, StubHub generates vast amounts of consumer data, which we utilize to address unique and compelling predictive and inferential challenges in user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. In your role as Data Science Manager, you will collaborate closely with business leaders to translate their long-term strategic goals into actionable machine learning projects executed by your team on a daily basis. Your ability to provide technical oversight while fostering individual growth will be crucial to your team's long-term success.Your responsibilities will also encompass the technical and personal development of your team members, enhancing talent density through targeted mentorship, strategic career development, and excellence in execution. You will need to plan for team structure and growth as we invest more in machine learning, particularly in understanding optimal methods for building and applying generative AI solutions within our products.Joining at a pivotal moment for the Data Science practice and the company, you will play an essential role in shaping our future. While the value of this discipline is well-established and we have a high-performing team in place, we are not at a steady state. Key investment areas include establishing new depths of technical expertise (e.g., causal inference, graph ML), advocating for top-tier ML tools/platforms, and broadening the integration of data science across the organization. As a senior leader in this team, you will be instrumental in shaping and realizing this vision.

Join Us in a Unique Fusion of Art and Science! Known is a cutting-edge marketing agency designed to tackle the extraordinary challenges and opportunities faced by marketers in today's landscape. With a team of over 200 talented individuals, we blend the expertise of PhD data scientists with award-winning creatives, strategists, engineers, and research experts to deliver innovative and impactful creative solutions. Our philosophy centers around the belief that true collaboration among creativity, science, strategy, and technology leads to remarkable outcomes. Recognized by Ad Age as a leading full-service agency, we proudly hold the distinction of being ranked #3 on The A-List and have been named Ad Age’s Data & Insights Agency of the Year for two consecutive years. Our partnerships with top-tier clients across finance, technology, entertainment, media, CPG, real estate, and more have propelled us to receive prestigious accolades, including Emmys, Clios, Effies, Cannes Lions, and Digiday’s Most Innovative Media Agency. Our proprietary AI analytics and optimization platform, SKEPTIC™, drives our agency's success and has garnered recognition as a pioneering force in marketing technology. Notably, it was named one of the Next Big Things in Tech by Fast Company and earned awards for Best Marketing Analytics Platform and Best AI Platform from Digiday. At Known, we are committed to hiring exceptional talent that embodies our values of curiosity, innovation, and continuous improvement. Our team is a blend of remote and hybrid workers, fostering a dynamic and inclusive work environment. Now, Let’s Discuss Your Potential Role! As a key member of Known’s Media Science team, you will leverage advanced analytics, machine learning, and statistical models to strategize and optimize advertising expenditures, ensuring our clients achieve outstanding results. Join us in redefining the marketing landscape!

About Formation Bio Formation Bio is a pharmaceutical company focused on improving drug development through technology and artificial intelligence. Since its founding in 2016 as TrialSpark Inc., the company has built technology platforms and processes that help move drug candidates through clinical trials faster and more efficiently. Formation Bio works with pharmaceutical companies, research organizations, and biotech firms to acquire and develop drugs that have advanced beyond clinical proof of concept, aiming to bring new therapies to patients sooner. Investors include a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, and SV Angel Growth. Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform Formation Bio’s team shares a commitment to values that support the mission of speeding up the delivery of new treatments to patients. Role Overview: Director of Data Science The Director of Data Science will lead efforts to transform drug development using advanced analytics and artificial intelligence. This leader will oversee projects that shape the drug development pipeline, including building models for patient selection and deploying AI-driven tools to improve clinical trial operations. The role connects computational biology, machine learning, and drug development, working closely with teams from different backgrounds to turn complex biological data into practical insights. The position offers the chance to shape the future of pharmaceutical development with advanced AI methods and contribute to better patient outcomes. Location Boston, MA or New York, NY

About the Role Lyft Ads is looking for a Data Science Manager with a focus on machine learning. This manager will guide a team of data scientists and work closely with others to develop advertising solutions that improve the platform’s performance. The role centers on applying machine learning expertise to shape insights and strategies for Lyft Ads.

As the Director of Data and Media Science at Known, you will be at the forefront of leveraging data analytics to drive impactful media strategies. You will lead a team of data scientists and analysts, fostering innovation and collaboration to enhance our data-driven decision-making processes. Your strategic vision will guide the application of cutting-edge technologies and methodologies to optimize media performance and achieve client objectives.

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

Spotify is seeking a Data Science Manager to join the Content Insights group in New York, NY. This position supports the Music Editorial teams by developing analytics that guide how playlists and musical experiences are curated for a global audience of more than 700 million users. What you will do Lead analytics projects that inform strategic decisions for music curation and editorial planning. Work closely with Music Editorial teams to turn data insights into effective playlist and content strategies. Develop and improve analytics tools that influence the musical experiences offered to Spotify listeners worldwide. Impact This role contributes directly to the creativity of Spotify’s editorial teams and helps shape the listening experience for millions of users around the globe.

As the Director of Actuarial Data Science for North America at akur8, you will lead a dynamic team in transforming the insurance industry through innovative data solutions. Your expertise will drive the integration of advanced analytics and actuarial science to enhance our data-driven decision-making processes.

Beghou Consulting is a leader in empowering life sciences companies to enhance their commercialization strategies through insightful analytics, innovative technology, and strategic foresight. With over 30 years of industry expertise, we specialize in crafting go-to-market strategies, establishing robust data analytics frameworks, and utilizing advanced artificial intelligence to elevate customer insights and engagement. Our aim is to help organizations optimize their performance and navigate the complexities of the healthcare landscape.Our mission is to unite analytical minds with cutting-edge technology to empower life sciences companies in overcoming healthcare challenges and improving patient outcomes.This position is integral to the development, implementation, and integration of data-centric projects aimed at advancing commercial initiatives in the pharmaceutical and life sciences sectors. As a subject matter expert, you will foster innovation and implement creative solutions across various work streams while providing strategic thought leadership. You will take the lead in project teams and play a crucial role in steering internal stakeholders towards successful project completion.

The Data Science team at Asana plays a crucial role in advancing our mission by promoting a data-centric approach that influences our product development and business strategies. As a Data Science Manager within the Product Data Science team, you will be instrumental in leveraging data and analytical methods to guide Asana's product roadmap and decision-making processes. You will collaborate closely with leaders in Engineering, Product, and Design, as well as the broader Asana data community, to establish priorities and facilitate our growth. Your passion for mentoring and leading a team will be complemented by your dedication to overcoming intricate technical challenges.This position is located in our New York City office with a hybrid work schedule. In-office days are typically Monday, Tuesday, and Thursday, with the flexibility to work from home on Wednesdays. Depending on your role and team collaboration needs, working from home on Fridays may also be an option. If you proceed with an interview for this position, your recruiter will provide further details regarding in-office expectations.Key Responsibilities:Guide the Product Data Science team in utilizing data to establish appropriate goals and strategies to achieve them.Lead and develop a team of data scientists, fostering their professional growth and expanding the team when necessary to ensure ongoing business success.Collaborate with leadership in Product, Engineering, and Design to determine our investments and strategic choices in AI and Collaborative Work Management.Assume a leadership role within the broader Asana Data Community, working alongside other Data Science teams, Data Engineering, and Analytics.

DeepIntent combines data science, real-world clinical data, and strategic advertising to advance healthcare advertising. The company’s mission is to improve patient outcomes through data-driven solutions. More information is available at www.DeepIntent.com. Role overview The Director of Data Science leads global initiatives that shape DeepIntent’s healthcare advertising technology. This leader manages a distributed team working on advanced modeling, optimization, and AI projects. The team supports healthcare marketers in connecting patients, providers, and brands with care and efficiency. This position is responsible for driving predictive and privacy-compliant insights for precision marketing and measurable results. The Director collaborates with product, engineering, and commercial teams to deliver scalable, data-centric solutions, and oversees data scientists based in the U.S., Europe, and India. Leadership and strategy Partner with executive and cross-functional leaders to turn data science capabilities into scalable, compliant, and commercially valuable solutions. Implement the global data science roadmap to advance DeepIntent’s mission in healthcare marketing. Mentor and lead a geographically distributed team of data scientists across multiple regions. Encourage a culture that values innovation, experimentation, and collaboration. Contribute to strategic planning and identify opportunities where advanced analytics and AI can improve business outcomes. Healthcare-focused data science and AI Design and refine predictive and causal models for patient and provider outreach, audience segmentation, and campaign performance analysis. Oversee development and deployment of machine learning models for real-time bidding, healthcare audience modeling, and privacy-first identity resolution. Integrate real-world data, claims data, and digital engagement signals into scalable machine learning frameworks. Ensure all models and data science methods comply with healthcare privacy standards, including HIPAA and other global regulations. Location New York, New York