Data Scientist II or III

Company: E Source

Location: United States (Remote)

Salary: $85,000 - $130,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-08-10

About this role

At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we're looking for a Data Scientist to help shape how that impact shows up in the world.

E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the utility industry in the US and Canada. We help utilities target and serve their customers more effectively, enhance and optimize their grid, and leverage operating best practices and technologies to manage their business more effectively. Headquartered in Texas, we have 450+ employees across the US and Canada. Learn more at www.esource.com

As a Data Scientist, you'll leverage your academic training, applied experience, and passion for data science to deploy a range of econometric, statistical, and predictive analytic methods in support of our energy utility clients' customer programs teams. This role is ideal for someone who is equally comfortable building a rigorous model and explaining what it means to a non-technical audience.

In this role, you will:

  • Turn data into insight, analyzing why things happened and predicting what could happen in alternative scenarios.
  • Develop, validate, and apply econometric and machine learning models to answer client research questions.
  • Conduct data exploration and evaluate data sufficiency for analysis and modeling.
  • Describe complex data and modeling concepts in writing and presentation formats to a wide audience, using data to inform critical client decisions.
  • Exhibit critical thinking and curiosity, including considering how your technical work fits within the larger context of the project, the client, and our industry.
  • Conduct quality control of your work, apply effective practices to minimize errors, and participate in the peer code review process to ensure high-quality deliverables.

You’re likely a great fit if you:

  • Are passionate about creative and rigorous applications of data analytics.
  • Have exceptional ...

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