> Markdown version of [/jobs/ext/531591-data-scientist-customer-experience](https://www.wearedevelopers.com/jobs/ext/531591-data-scientist-customer-experience). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Customer Experience - **Company:** Whatnot Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $162,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, BigQuery, Data Visualization, Data Warehousing, Python (Programming Language), Sql Optimization, Snowflake, Apache Spark, Information Technology, Data Management, Amazon Redshift - **Published:** June 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5f1ded13c971e107 ## About the Role Do you have experience in Leading team collaboration initiatives?, Do you have a Bachelor's degree?, + 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. ## Description 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 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., + 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Making Data Warehouses fast. 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