Data Scientist, Financial Engineering

Details

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 will own the analytics and experimentation that improve our checkout and payments, subscriptions, and pricing & monetization systems. You will define the metrics that matter, build 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.

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.

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).

Nice-to-haves / Especially great fit if you have

• Payments, checkout, or subscription analytics 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 benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.

We are an equal opportunity employer and provide reasonable accommodations to applicants with disabilities. Background checks for applicants will be administered in accordance with applicable law.

Compensation & Benefits

• Base pay range: $255,000 — $405,000 (total compensation also includes equity, potential performance bonus, and benefits).
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts (Health FSA, Dependent Care FSA, commuter expenses).
• 401(k) retirement plan with employer match.
• Paid parental leave and paid medical/caregiver leave.
• Flexible PTO for exempt employees; up to 15 days annually for non-exempt employees.
• 13+ paid company holidays and periodic company office closures.
• Mental health and wellness support; employer-paid basic life and disability coverage.
• Annual learning & development stipend, daily meals in offices, meal delivery credits, and relocation support for eligible employees.