Data Scientist, Financial Engineering

San Francisco, United StatesHybrid

Responsibilities

- 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.

We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide.
YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE - 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 (PSPs, bank rails, disputes/refunds, risk, e-commerce) - Background in offline incrementality methods, uplift modeling, CUPED/causal inference, or counterfactual evaluation -
Experience with internationalization/local payments, FX, and pricing & packaging strategy - Comfort building operational analytics (alerting, SLIs/SLOs) and partnering closely with data engineering About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence

ABOUT THE TEAM OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them.
ABOUT THE ROLE As a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our checkout and payments, subscriptions, and pricing & monetization systems.
You’ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage.
Your work will directly influence revenue, customer experience, and how we scale internationally.
We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
IN THIS ROLE, YOU WILL - Own checkout & payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency.