Job Description
Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part of the climate solution? At Energy Solutions, we focus on the big impacts. And we believe that market-based programs can be a powerful force to deliver large-scale energy, carbon, and water-use savings. Since 1995, we’ve harnessed that power to offer proven, performance-based solutions for our utility, government, and institutional customers.
We are currently seeking a Data Scientist I, Solar Programs, for the Distributed Energy Resources Team (DERs) to assist with the development of analytical models, dashboards, and data pipelines to provide insights to internal and external stakeholders. Working closely with senior team members, this role will apply statistical techniques and foundational machine learning methods to clean, analyze, and interpret data. They will support data quality efforts, document analyses, and communicate results while continuously building their technical and analytical skills.
Daily Responsibilities include but are not limited to:
- Execute assigned tasks to assist in the development and maintenance of analytical models, dashboards, and reporting outputs.
- Analyze datasets using established statistical techniques and basic machine learning methods to support defined analytical objectives.
- Apply foundational modeling approaches, including string‑matching and reconciliation techniques, to structured analysis tasks as directed.
- Prepare intermediate analytical outputs (tables, summaries, visualizations) for review and iteration.
- Execute data cleaning and transformation in Python or R, following established ETL and data processing workflows.
- Draft clear summaries of findings and document data sources, assumptions, and methodologies in accordance with team standards.
- Prepare charts, tables and dashboards visualizations to support stakeholder understanding and decision-making.
- Support collaboration with internal teams and project stakeholders by gathering requirements and clarifying data needs.
- Participate in code reviews, documentation reviews and team knowledge-sharing activities.
- Assist with maintaining organized project files, analysis artifacts, and reference documentation.
Minimum Qualifications:
- A bachelor’s degree.
- A minimum of 2 years of relevant work experience.
- 1 year of Python experience, including libraries like pandas, numpy, and scikit-learn.
- Experience building basic dashboards or reports using BI tools (Tableau preferred).
- Experience developing analytical models or performing structured data analyses using a high-level programming language
- Foundational knowledge of descriptive and introductory inferential statistics.
- Familiarity with common machine learning techniques and basic understanding of data warehousing concepts and ETL processes.
- Ability to work effectively on a team, manage individual work streams, and explain analytical results clearly to various audiences.
- A technical test will be required during the interview process.
Preferred Qualifications:
- Master’s degree coursework (in progress or completed) in a quantitative field.
- Foundational data analytics certifications (e.g., Coursera, edX, DataCamp).
- Exposure to R for data cleaning and analysis.
- Foundational awareness of version control and collaborative coding practices like Git/GitHub.
- Experience supporting analytical projects in academic, internship, or early-career professional settings.
The salary range for this role is $95,000 – $115,000/annually with a target compensation of $95,000 - $109,250/annually based on experience and qualifications.
Compensation is commensurate with experience and includes a generous retirement package. Energy Solutions provides an excellent benefits package including medical, dental and vision insurance, other pre-tax contribution plans and an Employee Stock Ownership Plan (ESOP).
AI Use
At Energy Solutions we believe in the importance of authentic interactions and equitable opportunities. We base our candidate selection on one’s own skills, knowledge, and experience. To ensure the integrity and fairness of our interview process, the use of artificial intelligence (AI) tools (including Generative AI) or other means to generate or assist with responses during interviews is strictly prohibited. This practice supports our commitment to create a transparent and equitable space where skills, knowledge and experience can truly shine.
Equal Opportunity Employer
Energy Solutions is an affirmative action-equal opportunity employer and prohibits discrimination and harassment of any type. We afford equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristics protected by law. Energy Solutions conforms to the spirit as well as to the letter of all applicable laws and regulations.
Office Locations and a Remote Workforce
Energy Solutions operates as a predominantly remote workforce with offices in  six different locations. Employees who reside within 40 miles of an office (except New York) will be assigned to that location, though in-office attendance requirements may vary by team. At this time, we are not accepting applications from candidates residing in the following states: Delaware, Kentucky, Mississippi, Montana, Nebraska, and North Dakota.
Background Check Information
Information will be requested to perform the compulsory background check. A drug screen and authorization to work in the U.S. indefinitely are preconditions of employment. Energy Solutions is an equal opportunity employer.
Reasonable Accommodations
Energy Solutions is committed to providing access and reasonable accommodation for individuals with disabilities. If you require accommodations in completing this application, interviewing, and/or completing any pre-employment testing, or otherwise participating in the employee selection process, please email [email protected].
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