Coordinating and evaluating the performance of all of these devices to forecast and estimate the delivered grid value requires state-of-the-art data science, control systems and machine learning. As such, EnergyHub seeks to hire an Energy Data Scientist to join EnergyHub's Analytics Engineering team. As an Energy Data Scientist you will work closely with other data scientists and analytics engineers to improve the models used for evaluation of our control algorithms. You will collaborate with the Data Science and Power Systems Intelligence team to understand the algorithms and optimizations used in order to improve our performance evaluation and forecasting abilities. You will also contribute to our data management software systems and will become core to the foundation of a future with carbon-free and distributed energy.

What you will do:

• 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

Who you are:

• You are passionate about enabling a carbon-free, distributed energy future
• You thoroughly enjoy finding valuable insights in large, complex datasets
• 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
• You can have fun while working on really hard problems with really smart people

Bonus points if:

• 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

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.

The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role. The base salary offered is part of a total compensation package.

Base Salary Range

$100,000-$156,750 USD