Manager, Data Science
About The Position
Whatnot is the largest livestream 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, Ireland, Poland, and Germany, we’re building the future of online marketplaces—together. From fashion, beauty, and electronics to rare 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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
- 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
- 16 weeks of paid parental leave + one month gradual return to work company leave allowances run concurrently with country leave requirements which take precedence.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
