Data Scientist, Financial Engineering
Hybrid · San Francisco, California, United States
Job Summary
As a Data Scientist in OpenAI's Financial Engineering team, you will own the analytics and experimentation for checkout, payments, subscriptions, and pricing systems, directly influencing revenue and customer experience. Responsibilities include improving checkout analytics, building experimentation programs, creating data visibility, and leading pricing analytics to enhance revenue metrics. Candidates should have significant experience in quantitative roles, be fluent in SQL and Python, and possess expertise in analytics frameworks, metrics development, and communication with cross-functional teams.
Required Qualifications
- 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)
Desired Qualifications
- Payments, checkout, or subscription analytics experience
- 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
Additional Requirements
- Qualified applicants with arrest or conviction records will be considered for employment consistent with applicable laws, including the California Fair Chance Act and local fair chance ordinances.
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