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OpenAI Logo OpenAI · IT - Software Development

Applied Data Science & Machine Learning Leader - Global Forecasting

United States, San Francisco 347000.00 - 490000.00 USD / Year · Job Posted February 21, 2026
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Job Description

We’re looking for a hands-on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up. Your team will be responsible for building and scaling robust, interpretable, and production-ready forecasting systems. These models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, compute consumption, and profitability. You will work closely with Strategic Finance leaders to integrate these scalable forecasting capabilities into their operational rhythms and collaborate with the Growth team to forecast key KPIs. This is a highly cross-functional role that requires technical excellence, strong product intuition, and business acumen. You’ll collaborate with various partners to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.

Job Responsibility

  • Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale
  • Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders
  • Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making
  • Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions
  • Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability
  • Research and evaluate emerging tools and techniques in the forecasting space
  • Translate technical outputs into business-aligned recommendations and decision frameworks

Requirements

  • Extensive experience building production-ready models for time series applications
  • Proven track record of building adjustable and explainable forecast models for multiple planning cycles
  • 10+ years of applied data science & engineering experience, with deep hands-on expertise in forecasting and predictive modeling
  • Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments
  • Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders
  • Team leadership experience with a track record of building high-performing, engaged teams
  • An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research)
  • A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1
  • The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it takes to succeed
  • Experience building or scaling forecasting platforms in a high-growth company
  • A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments

Nice to have

  • Experience building or scaling forecasting platforms in a high-growth company
  • A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments

What we offer

  • 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
  • Offers Equity
  • performance-related bonus(es) for eligible employees
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