Data Scientist, Financial Engineering

OpenAI
San Francisco
Workplace: HybridFull timeUSD 255,000 - 405,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Problem-solving","Leadership"]

Data Scientist on the FinEng team owns analytics and experimentation for checkout, payments, subscriptions, and monetization. Builds metrics, data assets, and experiments to improve conversion, reduce churn and payment failures, and expand global payment coverage, directly impacting revenue and user experience while supporting international scaling.

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FursaFursa
OpenAI
OpenAI
10 months ago

Data Scientist, Financial Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Data Scientist on the FinEng team owns analytics and experimentation for checkout, payments, subscriptions, and monetization. Builds metrics, data assets, and experiments to improve conversion, reduce churn and payment failures, and expand global payment coverage, directly impacting revenue and user experience while supporting international scaling.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own checkout & payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency.
  • •Build and run the experimentation program for in-house checkout—define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible.
  • •Create operational visibility and source-of-truth data with FinEng Data Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action.
  • •Lead subscription, retention, and monetization analytics—ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality.
  • •Collaborate with Product, Engineering, Risk, Finance, and GTM to scale globally and inform pricing & monetization decisions.

Pay and Benefits

Salary: USD 255,000 - 405,000 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments
  • •Fluency in SQL and Python, with a track record designing and interpreting A/B tests and quasi-experiments
  • •Experience building product metrics from scratch and operationalizing them for decision-making
  • •Excellent communication skills with PMs, engineers, risk/finance partners, and executives
  • •Strategic instincts beyond significance tests—clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience)
Experience:5+ yearsFintechHigh-growthData science
Skills:CommunicationProblem-solvingLeadership
Languages:English
Tech Stack:SQLPython

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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