Strategic Overview
Data Scientist, FinEng at OpenAI is a data opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Define key metrics and guardrails across checkout, payments, subscriptions, and pricing. Design experiments, staged rollouts, and offline incrementality studies.
The role is listed for San Francisco with hybrid working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Data Science.
Key information at a glance
About This Role
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 operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized. As OpenAI expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth.
Key Responsibilities & Objectives
- Define key metrics and guardrails across checkout, payments, subscriptions, and pricing.
- Design experiments, staged rollouts, and offline incrementality studies.
- Improve conversion, payment performance, retention, and involuntary churn.
- Develop pricing, elasticity, FX, and localization frameworks.
Required Qualifications & Candidate Blueprint
- 10+ years of experience in data science, experimentation, or product analytics.
- Experience with monetization, payments, checkout, subscriptions, or pricing.
- Advanced SQL and Python skills and strong expertise in experimentation and causal inference.
Salary & Benefits
Published compensation: $293K – $515K
Salary Benchmark
This role’s published compensation is compared with current employer-disclosed salary ranges for the same role in the same currency.
Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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 operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized. As OpenAI expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth.
About the Role
As a Data Scientist for Financial Engineering, you will drive the measurement, experimentation, and optimization work that powers OpenAI’s monetization infrastructure.
You will define how we measure and improve checkout, payments, subscriptions, and pricing systems globally—balancing conversion, risk, cost, reliability, and user experience. As a senior individual contributor, you will establish source-of-truth metrics, design rigorous experiments, develop analytical frameworks, and translate complex findings into decisions that directly affect revenue and international growth.
This role is based in San Francisco, CA. We use a hybrid model of three days per week in the office and offer relocation support.
In this role, you will
Define key metrics and guardrails across checkout, payments, subscriptions, and pricing.
Design experiments, staged rollouts, and offline incrementality studies.
Improve conversion, payment performance, retention, and involuntary churn.
Develop pricing, elasticity, FX, and localization frameworks.
Partner with Data Engineering to build trusted datasets and operational monitoring.
Turn complex analysis into recommendations that shape product and business decisions.
Provide technical leadership and mentor other data scientists.
You might thrive in this role if you have
10+ years of experience in data science, experimentation, or product analytics.
Experience with monetization, payments, checkout, subscriptions, or pricing.
Advanced SQL and Python skills and strong expertise in experimentation and causal inference.
A track record of independently leading high-impact, cross-functional analytical work.
Strong product judgment, communication skills, and the ability to influence senior stakeholders.
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. 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. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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.
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Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This data opening is a useful opportunity for candidates whose experience matches Data Science. Its strongest career signal is the scope of the work itself — particularly Define key metrics and guardrails across checkout, payments, subscriptions, and pricing. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground Data Science, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.