Data Scientist, Product Analytics
Whatnot
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Benefits offered by this job
Job summary
Qualifications
- 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
- Experience in applying statistical and analytical methods to real-world product problems.
- Able to communicate complex ideas clearly and concisely across diverse stakeholders.
Responsibilities
- Define and own the KPIs that measure product health, user engagement, and marketplace performance.
- Partner with product managers to design, implement, and evaluate A/B tests.
- Use modern data stack to build dashboards, data pipelines, and self-serve tools.
Skills
Education
Tools
Job description
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This range is provided by Whatnot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
$175,000.00/yr - $240,000.00/yr
🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live 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, Germany, Ireland, and Poland, we’re building the future of online marketplaces—together.
From fashion, beauty, and electronics to 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
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.
🔍 Generate Insights & Shape Product Direction
- 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.
🧪 Drive Experimentation & Measurement
- 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.
🛠 Build Data Products & Tools
- 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.
🤝 Lead Cross‑Functional Collaboration
- 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.
US Based
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, Los Angeles, and San Francisco hubs.
👋 You
Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high‑impact drive goes a long way here.
🎓 Experience & Expertise
- 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.
🧠 Technical Skills
- 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.
🗣 Collaboration & Leadership
- 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.
💰 Compensation
For Full‑Time (Salary) US based applicants: $175,000/year to $240,000/year + benefits + equity.
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
🎁 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.
Mid‑Senior level
Full‑time
Engineering and Information Technology
Technology, Information and Internet
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