Data Scientist, Product Analytics
Whatnot
Job Overview
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Job Description
Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe, redefining e-commerce by blending community, shopping, and entertainment. As a remote co-located team with hubs in the US, UK, Germany, Ireland, Poland, and Australia, we are building the future of online marketplaces together. From fashion and beauty to collectibles and live plants, our live auctions offer something for everyone. We're a fast-growing marketplace looking for bold, forward-thinking problem solvers across all functional areas. Explore our news and engineering blogs and join us in enabling anyone to turn their passion into a business.
Role: Data Scientist, Product Analytics
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 Data Scientist, Product Analytics 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 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 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 product strategy with data. Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
Key skills/competency:
- Product Analytics
- SQL
- A/B Testing
- Causal Inference
- Data Visualization
- Python/R
- Snowflake/BigQuery
- Data Warehousing
- KPI Definition
- Cross-functional Collaboration
How to Get Hired at Whatnot
- Research Whatnot's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor. Understand their focus on community, live shopping, and innovation.
- Tailor your resume for Product Data Scientist roles: Highlight your experience in product analytics, A/B testing, SQL, Python/R, and data visualization. Emphasize projects where your insights directly influenced product decisions at Whatnot.
- Showcase your impact with data: Prepare specific examples demonstrating how your data analysis led to measurable improvements in product health or user engagement. Quantify your achievements to stand out for Whatnot's Product Data Scientist position.
- Prepare for technical and behavioral interviews: Practice SQL queries, statistical concepts for experimentation (A/B testing, causal inference), and discuss past cross-functional collaborations. Be ready to articulate your problem-solving approach and ownership in a fast-paced environment.
- Engage with the Whatnot community: Familiarize yourself with the Whatnot platform as both a buyer and seller. This
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