Data Scientist, Product Analytics

Whatnot Whatnot · Consumer · San Francisco, CA · Engineering

Product Data Scientist at Whatnot, a livestream shopping platform. This role focuses on driving insights, experimentation, and decision-making across the company by partnering with Product, Engineering, Design, and Operations. Responsibilities include defining KPIs, analyzing user behavior, designing and evaluating A/B tests, building dashboards and data tools, and collaborating cross-functionally. Requires 3+ years of experience, advanced SQL, Python/R proficiency, and A/B testing expertise.

What you'd actually do

  1. Define and own the KPIs that measure product health, user engagement, and marketplace performance.
  2. Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities.
  3. Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
  4. Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
  5. Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.

Skills

Required

  • 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
  • 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.

Nice to have

  • Bachelor’s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.