Whatnot

Whatnot: Buy, Sell, Go Live

Data Scientist, Product Analytics

Data ScientistData ScientistFull TimeRemoteTeam 201-500Since 2021H1B SponsorCompany SiteLinkedIn

Location

California + 2 moreAll locations: California, New York, Washington

Posted

91 days ago

Salary

$175K - $240K / year

Bachelor Degree3 yrs expEnglishAmazon RedshiftBig QueryPythonSparkSQL

Job Description

• 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.

Job 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.

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