OpenAI
Machine Learning Data Scientist, Forecasting
About this role
OpenAI seeks a senior Machine Learning Data Scientist to build foundational forecasting systems for Strategic Finance. You'll develop production-ready models predicting user growth, revenue, compute consumption, and profitability while collaborating cross-functionally to drive data-informed strategy.
What you'll do
- Build statistical and ML models for forecasting across product, finance, infrastructure, and GTM domains
- Own end-to-end modeling lifecycle from scoping through deployment, monitoring, and explainability
- Develop scalable, interpretable forecasts for DAU/WAU, revenue, LTV, compute load, and profitability
- Create self-service forecasting tools and platforms enabling real-time predictions across teams
- Research emerging forecasting techniques including TimeGPT, LLM extensions, and causal approaches
- Translate technical outputs into business recommendations and decision frameworks for executives
What they're looking for
- Time-series forecasting and predictive modeling
- Python, SQL, and data manipulation
- ML frameworks (scikit-learn, PyTorch, TensorFlow)
- Model monitoring, debugging, and production maintenance
- Statistical analysis and experimental design
- Causal inference and Bayesian methods
- Data visualization and executive communication
- Platform/infrastructure development
Benefits
- Hybrid work model (3 days per week in office)
- Relocation assistance provided
- Work on foundational AI forecasting at cutting-edge company
- Cross-functional collaboration with product and research teams
- Leading 0→1 strategic initiatives
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Walk us through a complex time-series forecasting project you led—what models did you evaluate and why did you choose your final approach?
- How do you balance forecast accuracy with interpretability, and when would you sacrifice one for the other?