Data Scientist, Customer Experience
San Francisco, CA · Los Angeles, CA · Seattle, WA · New York, NYCustomer Support$162k–$215kPosted Jun 2, 2026
Data Scientist, Customer Experience LocationSan Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WAEmployment TypeFull timeLocation TypeRemoteDepartmentEngineeringData & Marketplace IntegrityCompensation$162K – $215K • Offers EquityThe salary or hourly rate range may be inclusive of several levels that would be applicable to the position. Final salary or hourly rate will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary or hourly rate, not benefits or equity.🚀 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. 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 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. 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 and operational strategy, helping us build delightful, high-performing experiences for both buyers and sellers. This is especially important when users reach out for support. We’re looking for a Data Scientist, Customer Experience who will partner closely with Product, Engineering, and Operations to embed the data narrative across Customer Experience products and operations, drive insights and experimentation, and ensure strong decision making across the company.In this role, you will:🔍 Generate Insights & Shape Product DirectionDefine and own the KPIs that measure CX health, downstream impact, product experience, and user sentiment.Analyze user behavior and marketplace dynamics to identify opportunities and inform CX product and agent team priorities.Measure the tradeoffs between user experience and business value.Translate complex data into actionable recommendations for product and leadership teams.🧪 Drive Experimentation & MeasurementPartner 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 ecosystem health.Build scalable methodologies to understand feature performance and guide iteration.🛠 Build Data Products & ToolsUse our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.Partner with engineers and operations leadership to improve data accessibility, ensure data quality, and support instrumentation for new product features.🤝 Lead Cross-Functional CollaborationAdvocate for data-driven decision-making and foster a culture of measurement across the CX organization.Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.Serve as a thought partner to CX leads, shaping how we build, launch, and iterate on experiences across the platform.👋 You People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.As our next Data Scientist, Customer Experience, you bring:🎓 Experience & Expertise5+ years of experience in Data Science, Decision Science, or Analytics within a...