Data Scientist, Financial Engineering

About the Position

We are seeking a Data Scientist, Financial Engineering to join our Financial Engineering (FinEng) team in San Francisco, CA. This role focuses on improving our checkout, payments, and subscriptions systems.

Location

• San Francisco, California, United States

Employment Type

• Full-time

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonuses for eligible employees, and benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick and safe time (1 hour per 30 hours worked)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

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.

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 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 the Company

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. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.