[Hiring] Energy Data Scientist @EnergyHub

Role Description

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:

• 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.
• Write production-level code, prototype new data products, and apply machine learning algorithms to energy IoT data.
• 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.
• 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.

Qualifications

• Passionate about enabling a carbon-free, distributed energy future.
• Enjoy finding valuable insights in large, complex datasets.
• Experience with Python and the scientific stack (pandas, numpy, scipy).
• Proficiency in SQL and understanding of good data modeling practices (basic ETL/ELT).
• Practical comprehension of basic machine learning algorithms and familiarity with popular software packages such as Sklearn and Tensorflow.
• Ability to explain results from large-scale data analyses to diverse audiences in a clear, interesting, and actionable way.
• Enjoy working on challenging problems with intelligent colleagues.

Requirements

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

Benefits

• Collaborate with outstanding people in a dynamic environment.
• Make an immediate impact with real responsibility for bringing new technologies to the marketplace.
• Gain well-rounded experience by working directly with executives and developing expertise across multiple areas of the business.
• Work with the latest technologies including IoT, SaaS, and machine learning.
• Be part of something important by helping create the future of energy production and consumption.