Whatnot

Whatnot

Data Scientist, Customer Experience

San Francisco, CA · Senior

Sponsorship not specifiedDetected 95 days ago
PythonSpringSQLBigQuerySnowflakeRedshiftSparkData AnalysisData EngineeringData ScienceData VisualizationStatisticsA/B TestingAccessibilityLeadershipCollaborationProblem Solving

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card intent detected

Whatnot Inc. obtained a prevailing wage determination for Data Scientists in Culver City, CALIFORNIA on 2026-06-08. No matching green-card filing appears in our data yet. The determination expires in 0 days (2026-09-05), and a green-card filing must follow before then or the employer starts over.

Green-card follow-through: 80%

Of 5 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 508 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

25 transfer filings in the last year, covering 25 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 🚀 Join the Future of Commerce with Whatnot!
  • We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes.
  • They care more about outcomes than credit and stay close to the product and the people using it.

Responsibilities

  • Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
  • 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 and operations leadership to improve data accessibility, ensure data quality, and support instrumentation for new product features.
  • Serve as a thought partner to CX leads, shaping how we build, launch, and iterate on experiences across the platform.
  • People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
  • Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories.
  • We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy.
  • We move fast, stay close to our users, and focus on the work that drives the most impact.
  • 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.

Requirements

  • 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.
  • 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.
  • Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.

Compensation

  • $5,000 annual allowance towards Childcare

Benefits

  • Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision
  • $1,000 home office setup allowance
  • $500 monthly allowance for wellness
  • $20,000 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

Company info

  • As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia.
  • 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.
  • The people here are shaping how an entirely new industry develops.
  • 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.
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This listing is sourced directly from Whatnot's careers page and normalized into a canonical job model.