Data Scientist, FinEng

OpenAI; United States; Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Relocation support

Job summary

OpenAI is seeking a Data Scientist for Financial Engineering in San Francisco, CA. The role focuses on measurement, experimentation, and optimization of checkout, payments, subscriptions, and pricing globally.

As a senior individual contributor, you will establish metrics, design experiments, and translate findings into decisions that drive revenue and international growth. Hybrid work (3 days in-office) with relocation support is offered.

Qualifications

• 10+ years of experience in data science, experimentation, or product analytics.
• Experience with monetization, payments, checkout, subscriptions, and pricing systems.
• Ability to translate complex findings into business decisions.

Responsibilities

• 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.
• Partner with data engineering to build trusted datasets and monitoring.
• Provide technical leadership and mentor other data scientists.

Skills

Data science

Experimentation

Analytics

Stakeholder communication

Mentoring

SQL

Python

Tools

SQL

Python

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 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, subscripti