Description

Data Scientist to develop data science and ML solutions that drive data-driven decisions and support the transition to a sustainable grid. The role involves designing algorithms in Python for analyzing customer energy consumption, predicting EV adoption, and performing in-depth model validation. Candidates should have a Ph.D. in a quantitative field, 2+ years of experience with large datasets, proficiency in Python/R, and expertise in spatio-temporal analysis and machine learning. Experience with cloud platforms and utility industry analytics is preferred

Key Skills
Education

Master's degree