Data Scientist, Energy Optimization

To support the optimization of energy storage and solar asset performance, the full-time Data Scientist, Energy Optimization will leverage advanced data analysis and machine learning techniques, collaborating with cross-functional teams in a remote work environment. Key Responsibilities Develop, implement, and deploy machine learning models and statistical analyses for energy optimization Design and build data pipelines to manage large-scale datasets from energy systems Create data visualizations and reports to communicate insights and recommendations to stakeholders Required Qualifications 1-3 years of experience in data science, analytics, or machine learning Bachelor's degree in a relevant field or equivalent experience Proficiency in Python and data science libraries such as pandas and scikit-learn Strong SQL skills and experience with large datasets Experience with modern AI coding assistants and version control using Git