Data Scientist, Product Analytics
Whatnot
π JOIN THE FUTURE OF COMMERCE WITH WHATNOT!
Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. 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.
As a remote co-located team, we're inspired by our values https://www.whatnot.com/careers 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 https://a16z.com/marketplace-100/ and were recently named the #1 Best Startup Employer in America http://google.com/search?q=%231+forbes+startup+employer&oq=%231+forbes+startup+employer&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIGCAEQRRg9MgYIAhBFGD0yBggDEEUYQDIGCAQQRRhAMgYIBRBFGEDSAQg1NzM0ajBqMagCALACAA&sourceid=chrome&ie=UTF-8 by Forbes. Check out the latest Whatnot updates on our news https://blog.teamwhatnot.com/ and engineering blogs https://medium.com/whatnot-engineering and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
π»Β ROLEΒ
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. Weβre 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.
In this role, you will:
π 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.
π§ͺ 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.
π 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.
π€ 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-techn