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OpenAI

Data Scientist, FinEng

OpenAI

Manager of Data Science leading strategies for OpenAI’s monetization infrastructure and financial data architecture. Overseeing a team, optimizing payments, checkout, and pricing at scale with a hybrid work model.

Posted 5/27/2026full-timeSan Francisco • California • 🇺🇸 United StatesSeniorLead💰 $293,000 - $515,000 per yearWebsite

Tech Stack

Tools & technologies
PythonRuby on RailsSQL

About the role

Key responsibilities & impact
  • Own the FinEng Measurement Strategy
  • Define the north-star revenue and monetization metrics across checkout, payments, subscriptions, and pricing.
  • Establish guardrails across conversion, fraud/risk, payment latency, cost-to-serve, and reliability.
  • Partner with Finance to ensure alignment between product metrics and financial reporting.
  • Lead and Scale Experimentation
  • Build and oversee the experimentation program for in-house checkout and subscription systems.
  • Define staged rollouts, guardrails, and offline incrementality methods when online testing is constrained.
  • Raise the bar on causal rigor across monetization decisions.
  • Build and Lead the FinEng DS Team
  • Hire, mentor, and grow a team of high-impact data scientists.
  • Set the technical direction for experimentation, causal inference, and monetization analytics.
  • Create operating rhythms that translate insights into shipping decisions.
  • Drive Global Monetization Optimization
  • Lead analytics for international payment method expansion, FX strategy, and pricing localization.
  • Reduce involuntary churn through intelligent retry logic, targeted nudges, and payment optimization.
  • Develop elasticity frameworks and pricing models that inform packaging and long-term revenue strategy.
  • Build Durable Data Infrastructure
  • Partner with FinEng Data Engineering to create source-of-truth datasets and operational visibility.
  • Establish SLIs/SLOs, alerting, and proactive monitoring across payment flows.
  • Ensure analytics scales with product and geographic expansion.

Requirements

What you’ll need
  • 7+ years in data science, experimentation, or product analytics, including leadership experience
  • Experience leading monetization, payments, checkout, or subscription analytics
  • Deep fluency in SQL and Python, and strong causal inference instincts
  • A track record of building experimentation platforms or scaling testing programs
  • Experience managing or mentoring high-performing data scientists
  • Strong executive communication skills and ability to influence cross-functional leaders
  • Payments infrastructure or PSP experience (bank rails, disputes, fraud/risk systems)
  • Background in offline incrementality, uplift modeling, CUPED, or counterfactual evaluation
  • Experience with global payment methods, FX strategy, and pricing optimization
  • Built operational analytics systems (alerting, SLIs/SLOs, monitoring)
  • Partnered closely with Finance or revenue accounting teams

Benefits

Comp & perks
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

ATS Keywords

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Hard Skills & Tools
SQLPythoncausal inferenceexperimentation platformsoffline incrementalityuplift modelingCUPEDcounterfactual evaluationoperational analytics systemspricing optimization
Soft Skills
leadershipmentoringexecutive communicationinfluencing cross-functional leaders