Energy Data Scientist
Core
Develop M&V methodologies and data science models to evaluate grid services from fleets of distributed energy resources.
Role type
Senior IC Energy Data Scientist
Builds
Production data science models and data products for electric utilities and energy stakeholders
Domain
Energy / Distributed Energy Resources / Grid Services
Deliverable
production ML models
Required skills
Python, pandas, numpy, scipy, SQL, data modeling, ETL/ELT, machine learning algorithms, Sklearn, Tensorflow
Preferred skills
Measurement and verification (M&V) of distributed energy resources, Snowflake, dbt, analytics engineering, BI tools (Sigma, Tableau, Looker), cloud scaling (Databricks, AWS, GCP, Azure), mathematics, statistics, power systems expertise
Technologies
Python, pandas, numpy, scipy, SQL, Sklearn, Tensorflow, Snowflake, dbt, Sigma, Tableau, Looker, Databricks, AWS, GCP, Azure
Responsibilities
Drive development of M&V methodologies and data science models; write production-level code and prototype data products; translate large distributed energy datasets into actionable insights; collaborate with Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams
Seniority
Senior, hands-on IC