Manager, Data Science

Whatnot · Consumer · San Francisco, CA · Engineering

Manager, Data Science to lead a team working on core marketplace problems, owning measurement, experimentation, and analytical strategy across growth, discovery, and ecosystem questions to drive GMV. This is a hands-on leadership role managing and developing data scientists while staying close to the work, shaping methodology, and raising quality bar. The role supports buyer or seller domains and involves driving analytical strategy for product and business investments, supporting work on discovery, personalization, matching, and monetization, and improving data usage through scalable frameworks and self-serve analytics. The team will adopt modern tooling, including AI-enabled workflows.

What you'd actually do

  1. Lead a team of data scientists working on high-impact marketplace problems across areas such as growth, discovery, incentives, ads, ranking, and ecosystem health
  2. Build and operationalize strong measurement foundations, including KPI frameworks, dashboards, diagnostics, and recurring business review rhythms
  3. Raise the bar for experimentation quality through better test design, guardrails, observability, and interpretation
  4. Partner closely with Product, Engineering, Marketing, Finance, Trust & Safety, and other cross-functional teams on complex marketplace and growth problems
  5. Drive analytical strategy for major product and business investments, helping teams understand performance, profitability, and tradeoffs

Skills

Required

  • 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

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

What the JD emphasized

  • high-impact marketplace problems
  • strong measurement foundations
  • experimentation quality
  • complex marketplace and growth problems
  • analytical strategy
  • evolving parts of the marketplace
  • scalable frameworks
  • high-quality analytical assets
  • AI-enabled workflows
  • high-performing data scientists
  • marketplaces
  • two-sided platforms
  • live/social consumer products
  • ranking
  • recommendations
  • personalization
  • growth experimentation
  • methodologies that scaled beyond your immediate team
  • 7+ years of experience
  • 2+ years of experience managing or tech-leading
  • Strong hands-on foundation
  • consumer product
  • growth
  • marketplace
  • monetization
  • ecosystem-focused teams
  • Track record of building measurement systems and analytical frameworks
  • Strong product and business judgment
  • operate effectively in ambiguity
  • adapt quickly as priorities evolve