The role focuses on developing measurement & verification (M&V) methodologies and data science/ML models to evaluate advanced grid services from distributed energy resources. Responsibilities include writing production-level code, prototyping data products, improving forecasting and performance evaluation, and collaborating with Data Engineering, Product, Sales, and other stakeholders. Required skills include Python, the scientific stack (pandas, numpy, scipy), SQL, basic ML (scikit-learn, TensorFlow), and data modeling/ETL practices. Visa sponsorship is not available.

Join EnergyHub's Data Science and Power Systems Intelligence team to develop and improve energy forecasting models, control and optimization algorithms, and production-grade software. Work with large distributed energy datasets, build data pipelines, monitor operational models, and present results to stakeholders. Requires strong machine learning, optimization, Python, and data engineering experience.