Data Scientist, Product Analytics

Data Scientist, Product Analytics 🚀 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 https://www.whatnot.com/careers. With hubs in the US, UK, Germany, Ireland, Poland, and Australia, 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 https://a16z.com/marketplace-100/, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news https://blog.teamwhatnot.com/ and engineering https://medium.com/whatnot-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. In this role, you will: 🔍 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. As our next Product Data Scientist, you bring: 🎓 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 an ... (truncated, view full listing at source)