mid Data Scientist ic 5+ yrs Hybrid · Posted Sep 30, 2025
$230,000 – $385,000
USD per year

About this role

OpenAI is hiring a mid-level Data Scientist based in San Francisco, CA (hybrid). The posting calls out experience with Python, SQL, Rails, A/B Testing and roughly 5+ years of relevant work. Compensation is listed at $230,000–$385,000 per year.

Role
Data Scientist
Function
data engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
San Francisco, CA
Work mode
Hybrid
Experience
5+ years
Department
Data Science
Posted
Sep 30, 2025
AI Summary
Own analytics and experimentation for checkout, payments, subscriptions, and pricing systems at OpenAI's Financial Engineering team. Design metrics, build data assets, and run A/B tests to improve conversion, reduce churn, and expand payment coverage. Requires 5+ years in quantitative roles with SQL/Python fluency and A/B testing expertise.

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Job description

from OpenAI careers

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.

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.

In this role, you will

  • 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.

    This is an excerpt. Read the full job description on OpenAI careers →
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