Data Scientist, Product Analytics
Whatnot
full-time
Posted on:
Location Type: Remote
Location: Remote • California, New York, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $175,000 - $240,000 per year
Job Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftBigQueryPythonSparkSQL
About the role
- 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.
Requirements
- 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 leave allowances run concurrently with country leave requirements which take precedence.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data ScienceDecision ScienceAnalyticsStatistical methodsAnalytical methodsSQLPythonRA/B testingData visualization
Soft skills
CommunicationInfluencingCross-functional leadershipOwnershipAnalytical thinkingProblem-solvingCollaborationAdaptabilityClear communicationCultural advocacy