Energy Data Scientist

Description: EnergyHub is seeking an Energy Data Scientist to join the Analytics Engineering team to improve models for evaluating control algorithms and forecasting. The role involves developing methodologies and data science models for evaluating advanced grid services from distributed energy resources. Requirements: Passion for enabling a carbon-free, distributed energy future. Experience with Python, SQL, and machine learning algorithms (e.g., Sklearn, Tensorflow). Ability to explain data analysis results clearly to diverse audiences. Bonus points for experience in measurement and verification (M&V), using Snowflake, BI tools, and cloud data science products. Benefits: 100% paid medical for employees and a 401(k) with employer match. Flexible schedule, casual environment, and various perks including gym subsidy and education assistance.