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OpenAI

Data Scientist, FinEng

OpenAI

. Define key metrics and guardrails across checkout, payments, subscriptions, and pricing .

Posted 10/9/2026full-timeSan Francisco • California • United StatesSeniorLead💰 $293,000 - $515,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and experimentation, with a focus on monetization strategies, payment performance, and product analytics. Proven ability to lead cross-functional analytical projects and influence key business decisions through data-driven insights.

Highest-signal resume keywords
Data ScienceExperimentationAdvanced SQLPython ProgrammingMonetization Strategies

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisCausal InferenceConversion OptimizationRetention StrategiesPricing FrameworksElasticity ModelingOperational MonitoringTechnical LeadershipExperiment DesignStaged Rollouts
Soft Skills
Communication SkillsInfluencing StakeholdersProduct Judgment
Industry Keywords
PaymentsCheckoutSubscriptionsPricingData Engineering

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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 shaping product and business decisions
  • Provide technical leadership and mentor other data scientists
  • Drive measurement, experimentation, and optimization for OpenAI’s monetization infrastructure

Requirements

What you’ll need
  • 10+ years of experience in data science, experimentation, or product analytics
  • Experience with monetization, payments, checkout, subscriptions, or pricing
  • Advanced SQL and Python skills
  • Strong expertise in experimentation and causal inference
  • Track record of independently leading high-impact, cross-functional analytical work
  • Strong product judgment, communication skills, and ability to influence senior stakeholders
  • Ability to work from the US office three days per week
  • Authorization to work in the country where the job is located
  • Willingness to undergo applicable background checks

Benefits

Comp & perks
  • Equity
  • Performance-related bonus(es) for eligible employees
  • 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)
  • Paid medical and caregiver leave (up to 8 weeks)
  • Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays
  • Multiple paid coordinated company office closures throughout the year for focus and recharge
  • 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
  • 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
  • Immigration and sponsorship support may be provided based on individual circumstances
  • Reasonable accommodations for applicants with disabilities