Masters degree, or foreign equivalent degree, in Data Science, Economics, Engineering, Architecture, Environmental Science, or a related discipline, plus three 3 years of related work experience.br br Must have three 3 years of experience within the followingbr br Forecasting distributed energy resource DER market adoption at granular locational and temporal levels.br Utilizing one 1 or more of the following programming languages, such as R and Rs Tidyverse packages, Python, andor SQL.br Industry experience working with utilities, energy efficiency, demand response, data analytics, energy modeling, and costeffectiveness.br Developing technical approaches and frameworks for analyticsbased projects.br br Telecommuting permitted.br br Less than 10 domestic travel required

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