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About the Role
The Seller Merchant team helps sellers bring inventory onto Whatnot, organize it effectively, and make it easier to sell. As a Data Scientist on Seller Merchant, you'll use data to understand seller differences and build better products, ultimately helping sellers become more productive, grow their businesses, and bring more high-quality supply to the marketplace.
Responsibilities
- Identify and prioritize high-impact opportunities to improve seller success using product analysis, opportunity sizing, and strategic thinking.
- Design and evaluate experiments across the seller experience, partnering with Product, Engineering, and Design to define hypotheses, metrics, and product decisions.
- Develop analytical frameworks to shape product strategy, proactively identifying opportunities and defining new ways to measure seller success.
- Analyze differences across seller segments (size, maturity, category, country, etc.) to determine when a single experience works versus when distinct segments need tailored products.
- Apply analytics and causal inference to make sound decisions with imperfect or limited data, partnering with product leaders.
- Develop hypotheses, challenge existing thinking, and use data to influence team investments.
Requirements
- 5+ years of experience in product data science, analytics, or a closely related field.
- Strong product and business judgment, with experience translating ambiguous product questions into hypotheses, analyses, experiments, and recommendations.
- Deep knowledge of experimentation, causal inference, and statistical methods, including approaches for smaller or noisier datasets.
- Strong statistical judgment to understand data limitations and when business judgment is required.
- Advanced SQL skills and working proficiency in Python for data investigation, statistical analysis, and debugging.
- Experience working closely with Product and Engineering teams and influencing decisions.
- Ability to disagree constructively, communicate uncertainty clearly, and maintain strong working relationships.
- Track record of independently identifying opportunities and driving analytical work from problem framing through recommendation and impact.
- Experience with e-commerce, merchant products, inventory systems, seller tools, or two-sided marketplaces is a plus.
- Must live within commuting distance of our New York or San Francisco hub.
Skills
- Product analysis
- Opportunity sizing
- Strategic thinking
- Experimentation design and evaluation
- Hypothesis testing
- Statistical methods
- Causal inference
- Bayesian methods
- Advanced SQL
- Python
- Data analysis
- Problem framing
Location
- Remote
- New York
- San Francisco
Work Type
- Remote
- Hybrid
Experience Level
- 5+ years
Education Level
- Bachelor's degree in Statistics, Economics, Computer Science, Mathematics, a related quantitative field, or equivalent relevant technical training.
Benefits
- Generous Holiday and Time off Policy
- 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
About the Company
- Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love.
- 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.
- We are a remote co-located team, 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.
- Join us as we enable anyone to turn their passion into a business and bring people together through commerce.
Equal Opportunity
- 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.