Energy Data Scientist

Summary

EnergyHub enables a carbon-free, distributed energy future by integrating energy devices with the electric power grid. The Energy Data Scientist will develop measurement and verification methodologies, data science models, production code, and machine learning applications to evaluate grid services, forecast performance, and derive actionable insights from energy IoT data.

Responsibilities

• You will drive the development of M&V methodologies and data science models for more accurate and transparent evaluation of our advanced grid services from fleets of distributed energy resources
• You will write production-level code, prototype new data products, and apply machine learning algorithms to energy IoT data
• You will work to translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders
• You will collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams
• Other duties as assigned

Skills

• You have experience with Python and the scientific stack (pandas, numpy, scipy)
• You have proficiency in SQL and understand good data modeling practices (basic ETL/ELT)
• You have a practical comprehension of basic machine learning algorithms and are familiar with popular software packages such as Sklearn and Tensorflow
• You can explain results from large-scale data analyses to diverse audiences in a way that is clear, interesting and actionable
• Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time
• You have experience in the measurement and verification (M&V) of control and optimization of distributed energy resources
• You have experience in using Snowflake, dbt and understanding analytics engineering development practices
• You have experience with at least one BI tool such as Sigma, Tableau, Looker, etc)
• You have experience with scaling data science products in the cloud (e.g., Databricks, AWS, GCP, Azure)
• You have a strong background in mathematics and statistics
• You have power systems expertise, including three-phase distribution network modeling

Qualifications

Must Haves

• You have experience with Python and the scientific stack (pandas, numpy, scipy)
• You have proficiency in SQL and understand good data modeling practices (basic ETL/ELT)
• You have a practical comprehension of basic machine learning algorithms and are familiar with popular software packages such as Sklearn and Tensorflow
• You can explain results from large-scale data analyses to diverse audiences in a way that is clear, interesting and actionable
• Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time

Nice to Haves

• You have experience in the measurement and verification (M&V) of control and optimization of distributed energy resources
• You have experience in using Snowflake, dbt and understanding analytics engineering development practices
• You have experience with at least one BI tool such as Sigma, Tableau, Looker, etc)
• You have experience with scaling data science products in the cloud (e.g., Databricks, AWS, GCP, Azure)
• You have a strong background in mathematics and statistics
• You have power systems expertise, including three-phase distribution network modeling

Benefits

• 100% paid medical for employees
• 401(k) with employer match
• A casual environment
• The flexibility to set your own schedule
• A fully stocked fridge and pantry
• Free Citi Bike membership
• Secure bike rack
• Gym subsidy
• Paid parental leave
• An education assistance program