Data Scientist, Product Analytics jobs in United States
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Whatnot · 3 hours ago

Data Scientist, Product Analytics

Whatnot is the largest live shopping platform in North America and Europe, redefining e-commerce through community and entertainment. The Product Data Scientist will partner with various teams to drive insights, experimentation, and decision-making to enhance product strategy and user experiences.

CollectiblesE-CommerceInformation TechnologyMarketplaceTrading Platform
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

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
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
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
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

Qualification

Data ScienceStatistical AnalysisSQLPythonA/B TestingData VisualizationBI ToolsCross-Functional CollaborationCommunication SkillsProblem Solving

Required

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
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
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

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
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
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
Monthly allowance to dogfood the app
Parental Leave
16 weeks of paid parental leave + one month gradual return to work

Company

Whatnot is a livestream shopping platform for buying and selling products.

H1B Sponsorship

Whatnot has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (34)
2024 (20)
2023 (18)
2022 (10)

Funding

Current Stage
Late Stage
Total Funding
$974.7M
Key Investors
CapitalGY Combinator Continuity FundAndreessen Horowitz
2025-10-28Series F· $225M
2025-01-08Series E· $265M
2022-07-21Series D· $260M

Leadership Team

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Jeff Chang
Director of Engineering, Head of Growth
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Company data provided by crunchbase