Battery Optimization Data Scientist (Hybrid)

Rodan Energy is seeking a data-driven optimization engineer to build and own battery and price-responsive load (PRL) optimization models. You will backtest against historical data, track experiments with MLflow, and partner with forecasting scientists to incorporate forecasts into models.

You will work within a growing data platform, collaborating with data engineering and applied researchers to ensure data quality and robust deployments across multiple energy markets.