Manager, Data Science
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Job Description
Manager, Data Science role at Whatnot leading team to drive analytical strategy and solve marketplace challenges. Focus on growth, ecosystem health, and developing data-driven solutions.
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
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.
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
- 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.
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