7+ years in data science, experimentation, or product analytics with leadership experience
Experience in monetization, payments, checkout, or subscription analytics
Fluency in SQL and Python with strong causal inference instincts
Proven track record of building experimentation platforms or scaling testing programs
Experience managing or mentoring high-performing data scientists
Strong executive communication skills with the ability to influence cross-functional leaders
Responsibilities
Own the FinEng measurement strategy and define key monetization metrics
Establish guardrails for conversion, fraud/risk, payment latency, and cost-to-serve
Build and oversee the experimentation program for checkout and subscription systems
Lead analytics for international payment expansion and pricing localization
Create source-of-truth datasets and ensure operational visibility for payments
Hire, mentor, and develop a team of data scientists
Develop elasticity frameworks and pricing models for long-term revenue strategy
Benefits
Relocation support offered
Hybrid work model with 3 days/week in office
Opportunity to shape company strategy and impact revenue directly
Access to cutting-edge financial engineering projects
Collaborative work environment with cross-functional teams
Full Job Description
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 artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
