Data Scientist, Financial Engineering
AI summary of the role
Own the analytics and experimentation for OpenAI's checkout, payments, subscriptions, and pricing systems.
What you’ll do
- Own checkout & payments analytics and experimentation across methods and locales, improving conversion while monitoring risk and latency.
- Build and run the experimentation program for in-house checkout, defining success metrics and guardrails.
- Create operational visibility and source-of-truth data with FinEng Data Engineering, including team-level metrics, SLAs, and self-serve dashboards.
- Lead subscription, retention, and monetization analytics, reducing involuntary churn and developing elasticity/FX frameworks.
What you’ll bring
- 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.
Technologies
SQL · Python · A/B testing · quasi-experiments · CUPED · causal inference · offline incrementality · uplift modeling · counterfactual evaluation · SLIs/SLOs
About OpenAI
Builds frontier AI models (GPT series) and ships them as ChatGPT consumer/enterprise products plus a developer API for the broader AI ecosystem.
Private Late
Source and classification
Internal deployment & tooling · Evidence for this classification:
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. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. 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. This role is based in San Francisco, CA. We use a
More from the job description
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. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. 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. This role is based in San Francisco, CA. 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. 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. Crea
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