Manager, Data Science

Role We’re looking for a Manager, Data Science to lead a high‑impact team working on core marketplace problems. In this role, you’ll own measurement, experimentation, and analytical strategy across some of our most important growth, discovery, and ecosystem questions, helping drive durable, profitable GMV across the marketplace. This is a hands‑on leadership role. You’ll manage and develop a strong team of data scientists while also staying close to the work yourself—shaping methodology, raising the quality bar, and helping the company make better product and investment decisions. Depending on business needs and candidate fit, this role may support buyer or seller domains. Lead a team of data scientists working on high‑impact marketplace problems across areas such as growth, discovery, incentives, ads, ranking, and ecosystem health Build and operationalize strong measurement foundations, including KPI frameworks, dashboards, diagnostics, and recurring business review rhythms Raise the bar for experimentation quality through better test design, guardrails, observability, and interpretation Partner closely with Product, Engineering, Marketing, Finance, Trust & Safety, and other cross‑functional teams on complex marketplace and growth problems Drive analytical strategy for major product and business investments, helping teams understand performance, profitability, and tradeoffs Support work on discovery, personalization, matching, and monetization across evolving parts of the marketplace Improve how teams use data by building scalable frameworks, self‑serve analytics, and high‑quality analytical assets Help your team adopt modern tooling, including AI‑enabled workflows, to improve speed, leverage, and decision‑making Manage, coach, and develop high‑performing data scientists while hiring thoughtfully as the business grows Nice to have: Experience in marketplaces, two‑sided platforms, or live/social consumer products Experience with incentives, pricing, LTV, ads, marketplace health, or ecosystem economics Background in ranking, recommendations, personalization, or growth experimentation Experience building approaches, tools, or methodologies that scaled beyond your immediate team We offer flexibility to work from home or from one of our global office hubs, and we value in‑person time for planning, problem‑solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, San Francisco or Los Angeles hub. You 7+ years of experience in data science, product analytics, experimentation, economics, or a related quantitative field 2+ years of experience managing or tech‑leading high‑performing data scientists or quantitative teams Strong hands‑on foundation in analytics, experimentation, causal reasoning, and statistical methodology Experience supporting consumer product, growth, marketplace, monetization, or ecosystem‑focused teams Track record of building measurement systems and analytical frameworks that improve decision quality Strong product and business judgment, with the ability to connect detailed analysis to broader company outcomes Ability to operate effectively in ambiguity and adapt quickly as priorities evolve Strong communication and stakeholder management skills, including experience working cross‑functionally with senior partners Track record of coaching and developing strong individual contributors Enthusiasm for modern data tooling and AI‑enabled workflows that improve team productivity Benefits Flexible Time‑off Policy and Company‑wide Holidays (including spring and winter break) Health Insurance options including Medical, Dental, Vision Work‑From‑Home Support Home office setup allowance Monthly allowance for cellphone and internet Care benefits Monthly allowance for wellness Annual allowance towards childcare Lifetime benefit for family planning, such as adoption or fertility expenses Retirement; 401(k) offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally Monthly allowance to dog‑food 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. #J-18808-Ljbffr Whatnot