or apply directly on EnergyHub's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 16 days EnergyHub's roles stay open a median of 42 days
- Reposted
- No
- Salary listed
- No 12% of EnergyHub's roles list one
- Ghost-job risk at EnergyHub
- high 8 stale, 0 reposted of 17 open
- Hiring momentum
- 27 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from EnergyHub's own greenhouse board since 2026-08-03. Full hiring picture for EnergyHub.
About this role
As an Energy Data Scientist at EnergyHub, you will work on developing methodologies and models to evaluate the performance of distributed energy resources. Your role involves writing production-level code, applying machine learning algorithms to large datasets, and collaborating with various teams to translate data into actionable insights for stakeholders. You will contribute to improving control algorithms and forecasting abilities while being part of a team focused on enabling a carbon-free energy future.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of EnergyHub as an employer.
What you need
- 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 software packages such as Sklearn and Tensorflow
- Ability to explain results from large-scale data analyses to diverse audiences
Nice to have
- Experience in the measurement and verification (M&V) of control and optimization of distributed energy resources
- Experience 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
What you get
- 100% paid medical for employees
- 401(k) with employer match
- Casual environment
- Flexibility to set your own schedule
- Fully stocked fridge and pantry
- Free Citi Bike membership
Worth weighing
- No mention of specific technologies or frameworks beyond the scientific stack and machine learning tools, which may indicate a focus on traditional methods.
- The role involves collaboration with various teams, which could mean a need for strong interpersonal skills.
- The company does not offer sponsorship for employment authorization, which may limit opportunities for international candidates.
Summarised from EnergyHub's posting. Read the full original.
Listed by EnergyHub on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
More roles at EnergyHub
- Software Engineer IHelsinki, Finland
- Growth Marketing SpecialistBrooklyn, New York
- Senior Subsidiary AccountantRemote - United States
- Senior Client Success ManagerRemote - United States
- Senior Software EngineerRemote - United States