Whatnot

Whatnot

Data Scientist, Finance & Payments

San Francisco, CA · Senior

Sponsorship not specifiedDetected 127 days ago
ReactSQLData AnalysisData ScienceAccountingCommunicationProblem Solving

Stay score

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.

Personalize to your clock →

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.

Community outcomes

No reports yet — be the first to help the next applicant.

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.
  • The ideal candidate thrives at the intersection of finance and engineering, prioritizing speed and utility over complex statistical modeling.

Responsibilities

  • Partner closely across the business to find improvements/opportunities and influence decisions using data science and analytics methodologies and tools.
  • Act as the data partner for Finance functions, including but not limited to payments, strategic finance, profitability, accounting, and the executive office.
  • Build high impact data products, dashboards, notebooks, and actionable KPIs to convey critical financial insights.
  • Drive incremental improvements in contribution margin by deeply understanding business drivers and analyzing cross-functional initiatives.
  • Collaborate on data and analytics work to ensure financial tools and datasets are enriched, reliable, and scalable.
  • Work From Home Support
  • All Whatnauts are expected to develop a deep understanding of our product.
  • We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).

Compensation

  • Annual allowance towards Childcare

Benefits

  • Bonus points for D3, React or Web app development.
  • Generous Holiday and Time off Policy
  • Health Insurance options including Medical, Dental, Vision
  • Home office setup allowance
  • Monthly allowance for wellness
  • 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
  • Parental Leave

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.
  • Team members in this role must live within commuting distance of our LA, NYC, Seattle or SF hub. 👋 You We are looking for intellectually curious, highly motivated individuals with a strong background in data tooling and visualization.
Apply directly at Whatnot →Create a free account for alerts like thisView Whatnot immigration profile

This listing is sourced directly from Whatnot's careers page and normalized into a canonical job model.