Machine Learning Data Scientist - Consumer Forecasting
Core
Build and scale robust, interpretable, production-ready forecasting systems to predict core metrics like DAU/WAU, revenue, LTV, compute consumption, and profitability for OpenAI's strategic planning and decision-making.
Role type
Senior Machine Learning Data Scientist (Forecasting)
Builds
Scalable forecasting infrastructure and self-service tools for user growth, monetization, compute load, and profitability.
Domain
AI Research / Strategic Finance / Compute Infrastructure
Deliverable
production ML models
Required skills
Time-series forecasting, Python, SQL, scikit-learn, PyTorch/TensorFlow, model monitoring, feature engineering, model deployment, causal inference, Bayesian forecasting
Preferred skills
Building forecasting platforms in high-growth companies, agentic decision support systems, large language model extensions
Technologies
Python, SQL, scikit-learn, PyTorch, TensorFlow
Responsibilities
Build statistical and ML models for forecasting across product, finance, and infrastructure; Own end-to-end modeling lifecycle from prototyping to monitoring; Develop production-ready forecasts for key business metrics; Research emerging forecasting techniques; Translate technical outputs into business recommendations; Collaborate with cross-functional teams to integrate forecasts into planning.
Seniority
Senior, hands-on IC
