Master's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience
Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them
Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment
Competency in commonly used data science and/or operations research programming languages, packages, and tools
Hands-on and theoretical experience of data science/machine learning models and algorithms
Competency in the mathematical and statistical fields that underpin data science