Together, the teams work across the company on high-impact research and modeling efforts, including interval meter data analysis, weather-normalized load modeling, typical-load-year forecasts, class-level load studies, climate and emerging-technology impact analysis, EV adoption forecasting, and migration of analytics into Databricks. · Enrolled in an accredited college or university and pursuing a degree in Statistics, Data Science, Economics/Econometrics, Applied Mathematics, Mathematics, Electrical Engineering, Computer Engineering, Computer Science, Environmental Studies, Public Policy, or a related quantitative, technical, or policy-focused field.