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Data Scientist, Customer ExperienceWhatnot • San Francisco, California, United States
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Data Scientist, Customer Experience

Whatnot
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Jetzt Bewerben

Über

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 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. Generate Insights & Shape Product Direction
Define 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 & 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 ecosystem health. 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 and operations leadership 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 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. Experience & Expertise
5+ 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 strategy with data. Comfortable working in fast‑paced, ambiguous environments with a high degree of ownership. 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
$1,000 home office setup allowance $150 monthly allowance for cell phone and internet
Care benefits
$500 monthly allowance for wellness $5,000 annual allowance towards Childcare $20,000 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 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.
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. 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. Compensation Range:
$162K - $215K
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  • San Francisco, California, United States

Sprachkenntnisse

  • English
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