Whatnot
Data Scientist, Seller Merchant
$194K–$215K
San Francisco, CA +2 · Full-time · Posted Oct 14, 2026
- Location
- San Francisco, CA
New York, NY
Seattle, WA - Experience
- 5+ years in product data science, analytics, or a closely related field.
- Education
- Bachelor's degree in Statistics, Economics, Computer Science, Mathematics, a related quantitative field, or equivalent relevant technical training.
About the job
Uses product data and statistical methods to identify seller needs, evaluate product changes, and guide Seller Merchant strategy and decisions.
What you'll do
- Identify and prioritize opportunities to improve seller success and product workflows.
- Design experiments, define metrics, and translate results into product decisions with cross-functional partners.
- Analyze seller segments and develop measurement frameworks to guide product strategy.
What they ask for
- Bachelor's degree in a quantitative field or equivalent relevant technical training.
- Strong product and business judgment, including translating ambiguous questions into analyses and recommendations.
- Deep knowledge of experimentation, causal inference, and statistical methods.
- Advanced SQL, working proficiency in Python, and experience influencing decisions with Product and Engineering teams.
Nice to have
- Experience with e-commerce, merchant products, inventory systems, seller tools, or two-sided marketplaces.
- Experience analyzing products or platforms for meaningfully different user groups.
Pay
$194K - $215K (base salary)
Tools
SQL, Python
AI focus
Uses AI-assisted work and modern AI tools in daily workflows; evaluates and debugs AI-assisted outputs and judges whether they are trustworthy.
Model-written summary · the original posting is authoritative