Pay
In line with similar jobs
$100K–$157K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Remote - United States
Live, first seen by us 64 days agoBase Salary Range $100,000—$156,750 USDRead the full posting
Listed location: Remote - United StatesRead the full posting
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
Develop measurement and verification (M&V) methods for grid services from device fleets
Write production-level code and prototype new data products
Apply machine learning to energy IoT data
Turn large distributed energy data into insights for electric utilities
drive the development of M&V methodologies and data science models
You will write production-level code, prototype new data products
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
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
are familiar with popular software packages such as Sklearn and Tensorflow
You can explain results from large-scale data analyses to diverse audiences
We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.
In the employer’s words · Read in context
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In line with similar jobs
$100K–$157K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 64
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 10,064 similar postings that came down. Coming down is not always a hire.
2 open jobs
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Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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 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 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 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 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 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
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
EnergyHub is working to enable a carbon-free, distributed energy future by seamlessly integrating enormous numbers of energy devices with the electric power grid. Our platform coordinates and collects terabytes of data from what will soon be more than 1,000,000 distributed energy devices, such as thermostats, electric vehicles and home batteries.
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:
Who you are:
Bonus points if:
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.
Why work for EnergyHub?
About EnergyHub
EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.
To learn more, visit energyhub.com.
Company Benefits
EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer 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, and an education assistance program.
EnergyHub is an Equal Opportunity Employer
EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.
In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.
Notice To Third Party Agencies:
EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Base Salary Range $100,000—$156,750 USD
Remote - United States
Working pattern and location restrictions need checking in the full posting.
- 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. Why work for EnergyHub?