Head Of Data Science And Machine Learning, Global Forecasting

Details

The Strategic Finance team at OpenAI builds forecasting capabilities to inform high-stakes decisions across product, engineering, and go-to-market. This role leads a small, hands-on team of applied data scientists and ML engineers to develop production-ready, interpretable, and scalable forecasting systems that predict metrics such as DAU/WAU, revenue, compute consumption, and profitability. You will partner closely with Strategic Finance and Growth to operationalize forecasts and influence company-wide strategy.

Responsibilities

• Build and manage a team of applied data scientists and ML engineers to develop forecasting platforms at scale.
• Design and own the roadmap for a forecasting platform in partnership with cross-functional stakeholders.
• Integrate forecasts into Strategic Finance planning processes and executive decision-making.
• Collaborate with cross-functional partners to drive adoption of scientific, automated forecasting solutions.
• Own the end-to-end modeling lifecycle: scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.
• Research and evaluate emerging tools and techniques in forecasting.
• Translate technical outputs into business-aligned recommendations and decision frameworks.

Requirements

• Extensive experience building production-ready models for time series and forecasting applications.
• Proven track record building adjustable and explainable forecast models across planning cycles.
• 10+ years of applied data science and 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.
• Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).
• Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1.
• Ability to thrive in a dynamic environment: flexible, resourceful, and results-oriented.

Bonus

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

Location & Work Model

• This role is based in San Francisco, CA.
• Hybrid work model: three days in the office per week.
• Relocation assistance is offered to new employees.

Compensation & Benefits

• Base salary range: $390,000 – $490,000 (offers equity and other total compensation components such as performance-related bonus(es)).
• Benefits include medical/dental/vision insurance, HSA contributions, pre-tax FSA accounts, 401(k) with employer match, paid parental and medical leave, flexible PTO, 13+ paid company holidays and office closures, mental health support, employer-paid life and disability coverage, learning & development stipend, daily meals and meal credits, and relocation support for eligible employees.

About OpenAI

OpenAI is an AI research and deployment company focused on ensuring that general-purpose artificial intelligence benefits all of humanity. OpenAI values diverse perspectives and is an equal opportunity employer. Background checks will be administered in accordance with applicable law. Reasonable accommodations for applicants with disabilities are available upon request.