The opportunity
The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling.
What you'll do
Build statistical and machine learning models to solve forecasting needs: across product, finance, infrastructure, and GTM domains.
Own the end-to-end modeling lifecycle , including scoping, feature: engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.
Develop and productionize scalable, interpretable forecasts for user growth,: monetization, compute load, customer lifetime value, and profitability.
Contribute to self-service forecasting tools and internal platforms ,: enabling teams across OpenAI to access and act on real-time predictions.
Research and evaluate emerging tools and techniques in the forecasting space,: such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches.
Drive strategic insight generation by translating technical outputs into: business-aligned recommendations and decision frameworks.
What they're looking for
- Collaborate closely with cross-functional teams to ensure forecasts are: well-integrated into planning processes, experimentation workflows, and executive decision-making.
- Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics,: Computer Science, Economics, Operations Research).
- + years of experience in applied data science, with deep hands-on exposure to: forecasting, predictive modeling, or marketplace systems.
- Expertise in time-series forecasting techniques and practical understanding: of model trade-offs across performance, explainability, and scalability.
