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Energy Data Scientist

Pay
USD 100,000–156,750/year · BaseAnnual period assumed — pay source
Base Salary Range $100,000—$156,750 USD
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Work setting
Remote — work setting source
Listed location: Remote - United States
Read the full posting
Employment
Not stated

Before you apply

Work authorization
Must already have the right to workPlease note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time

What you’ll work on

Full posting
  • 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Experience with Python and the scientific stack (pandas, numpy, scipy)
  • Proficiency in SQL and basic data modeling (ETL/ELT)
  • Practical understanding of basic machine learning algorithms
  • Familiarity with Sklearn and Tensorflow
  • Explain large-scale analysis results clearly to diverse audiences
Qualification wording
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

About EnergyHub

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

Apply at EnergyHub

Posting record

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Status in our records
Live
First seen by us
Sep 1, 202665 days ago
Recorded sightings
33
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

Day 65

Up longer than most. Similar jobs usually come down between day 7 and day 56.

From 10,198 similar postings that came down. Coming down is not always a hire.

EnergyHub is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add 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.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • dbt
  • GCP
  • Looker
  • Sigma
  • Snowflake
  • Tableau
  • NumPy
  • pandas
  • SciPy
  • TensorFlow
  • scikit-learn
Where the posting names them
- 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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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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:

  • 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.

Why work for EnergyHub?

  • Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
  • Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!
  • Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
  • Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
  • Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

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.  

Base Salary Range
$100,000—$156,750 USD
Source details

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Pay
Base Salary Range $100,000—$156,750 USD
Location & working pattern

Remote - United States

Working pattern and location restrictions need checking in the full posting.

Work authorization
- 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?

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