Energy Data Scientist

Job Summary

To support a growing analytics team, the full-time remote Energy Data Scientist will drive the development of methodologies and models for evaluating advanced grid services, write production-level code, and translate large datasets into actionable insights for stakeholders.

Key responsibilities

• Develop M&V methodologies and data science models for accurate evaluation of distributed energy resources
• Write production-level code and apply machine learning algorithms to energy IoT data
• Collaborate with various internal and external stakeholders to enhance performance evaluation and forecasting capabilities

Required qualifications

• Experience with Python and the scientific stack (pandas, numpy, scipy)
• Proficiency in SQL and understanding of good data modeling practices
• Familiarity with basic machine learning algorithms and software packages such as Sklearn and Tensorflow
• Experience in measurement and verification (M&V) of control and optimization of distributed energy resources (preferred)
• Strong background in mathematics and statistics (preferred)