Manager, Data Science

🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. 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. 🚀 Join the Future of Commerce with Whatnot!  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. 💻 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. 💛 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. 💛 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.

{
  "content_hash": "2f442d4f93e9f2b32ae152a7cfd635908ec5cf57614e4f89ed299bdbca59ba1f",
  "source_hash": "9f3fc7d33820b3d73cc27b82792e4c589b53e128260c97ebeaaf5e0ae1137827",
  "last_changed_at": "2026-05-29T05:19:20.638Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "San Francisco, CA",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T18:54:31.514Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, CA",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "id": "66304d75-7fa8-4ab5-acd7-4ac8c1af36c9",
  "team": "Engineering, Data & Marketplace Integrity",
  "title": "Manager, Data Science ",
  "jobUrl": "https://jobs.ashbyhq.com/whatnot/66304d75-7fa8-4ab5-acd7-4ac8c1af36c9",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/whatnot/66304d75-7fa8-4ab5-acd7-4ac8c1af36c9/application",
  "isListed": true,
  "isRemote": true,
  "location": "San Francisco, CA",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "Los Angeles, CA"
    },
    {
      "location": "New York, NY"
    },
    {
      "location": "Seattle, WA"
    }
  ]
}