Manager, Data Science

Whatnot

$120K — $160K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in data science, product analytics, experimentation, economics, or a related quantitative field
  • 2+ years of experience managing or leading high-performing data science teams
  • Strong foundation in analytics, experimentation, causal reasoning, and statistical methodology
  • Experience supporting teams focused on consumer product, growth, marketplace, or monetization
  • Proven ability in building measurement systems and analytical frameworks
  • Strong communication and stakeholder management skills for cross-functional collaboration
  • Enthusiasm for modern data tooling and AI-enabled workflows

Responsibilities

  • Lead a team of data scientists on key marketplace challenges
  • Develop robust measurement foundations, including KPIs and dashboards
  • Enhance experimentation quality via improved design and analysis
  • Collaborate with cross-functional teams on complex marketplace issues
  • Drive analytical strategies for product and investment decisions
  • Support analytics on discovery, personalization, and monetization
  • Create scalable frameworks and self-serve analytics for improved data use

Benefits

  • Flexible Time Off Policy and Company-wide Holidays including seasonal breaks
  • Comprehensive Health Insurance options including Medical, Dental, and Vision
  • Support for Work From Home, including home office setup and monthly allowances
  • Care benefits including wellness allowance and assistance with childcare
  • Retirement options with 401k matching and international Pension plans
  • Allowance to use the app for product familiarity and practical experience
  • 16 weeks of paid parental leave plus a gradual return-to-work month
Full Job Description
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

People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
  • 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
    • 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.

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