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Whatnot Logo Whatnot · IT - Software Development

Data Scientist, Product Analytics

United States, San Francisco, CA, New York, NY, Los Angeles, CA, Seattle, WA 185000.00 - 240000.00 USD / Year · Job Posted February 18, 2026
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Job Description

As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. We’re looking for a Product Data Scientist who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company.

Job Responsibility

  • Define and own the KPIs that measure product health, user engagement, and marketplace performance
  • Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities
  • Translate complex data into actionable recommendations for product and leadership teams
  • Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts
  • Develop frameworks for causal inference, impact measurement, and long-term product evaluation
  • Build scalable methodologies to understand feature performance and guide iteration
  • Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot
  • Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features
  • Advocate for data-driven decision-making and foster a culture of measurement across the product organization
  • Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions
  • Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform

Requirements

  • 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization
  • A bachelor’s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience
  • Proven experience applying statistical and analytical methods to real-world product problems
  • Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT
  • Proficiency with Python or R for data analysis, modeling, and experimentation
  • Experience designing and analyzing A/B tests and understanding causal inference techniques
  • Strong data visualization skills and familiarity with BI tools for building interactive dashboards
  • Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders
  • Experience leading cross-functional projects and influencing product strategy with data
  • Comfortable working in fast-paced, ambiguous environments with a high degree of ownership

What we offer

  • 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
Whatnot - All Job Offers

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