Machine Learning Data Scientist, Forecasting
Core
Build and scale robust, interpretable, production-ready forecasting systems to predict core business metrics like DAU/WAU, revenue, LTV, compute consumption, and profitability.
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
Strategic Finance / AI Research / 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, large language model extensions, hybrid forecasting approaches
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; develop production-ready forecasts; research emerging forecasting tools; translate technical outputs into business recommendations; collaborate on integrating forecasts into planning workflows.
Seniority
Senior, hands-on IC
