> Markdown version of [/jobs/ext/3421327-data-scientist-iii-utility-analytics](https://www.wearedevelopers.com/jobs/ext/3421327-data-scientist-iii-utility-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist III, Utility Analytics

- **Company:** E Source
- **Location:** United States (Remote available)
- **Salary:** $100,000.0 - $137,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Artificial Neural Networks, JIRA, Microsoft Azure, Code Review, Generalized Linear Model, Python (Programming Language), Machine Learning, Natural Language Processing, Cloud Platform System, Pyspark, Databricks
- **Published:** September 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d11f01f4f20be242

## About the Role

* Are a self-starter who thrives in team-based, collaborative projects from conception to end-user handoff
 * Provide an excellent customer experience throughout a project's lifecycle
 * Can simplify complex analyses into concepts that are clear to management and operations stakeholders
 * Communicate and present clearly and confidently

And even better if you:

 * Have experience using Databricks, particularly with PySpark
 * Have professional experience in the utility or energy sector
 * Are familiar with customer and distribution grid data models
 * Are familiar with cloud environments, specifically AWS and Azure

Experience and Skills to Qualify Include:

 * Master's degree or PhD in a technical field such as statistics, economics, mathematics, or electrical engineering
 * Proficiency in R or Python (fluency in both preferred)
 * Experience applying data science methods to proof-of-concept and operational support projects in a professional environment
 * Strong understanding of a variety of statistical and machine learning model families.
 + Examples may include generalized linear models, time series approaches, penalized regression models, tree-based ensemble models, neural network models, and natural language processing techniques, Applicants must be authorized to work for any employer in the US or Canada. We're unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn) at this time.

## Description

As a Data Scientist III, you'll join E Source's team, collaborating on data science projects with utility domain experts, software engineers, and machine learning engineers. You'll work on projects like customer energy usage modeling across time and weather conditions, detecting usage of grid-impacting customer end uses, and estimating the impacts of utility-managed programs and services, with models built for integration into the production software that serves our utility clients. This role is ideal for a self-starter who thrives in team-based, collaborative projects from conception to end-user handoff, and who can simplify complex analyses into concepts that are clear to management and operations stakeholders.

In this role, you will:

 * Contribute to translating a scope of work into technical tasks for project team assignments using Jira issues
 * Explore data and evaluate its sufficiency to perform data science tasks
 * Creatively distill insights from data exploration and modeling to make our work products meaningful and actionable for clients
 * Develop statistical and machine learning models and validate model performance
 * Collaborate on the development and maintenance of data science pipelines for repeated execution
 * Manage code repositories and conduct code reviews
 * Communicate with clients, internal or external, throughout the data science project lifecycle
 * Identify data sources that can facilitate data science solutions to utility industry problems


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow)
- [GitOps for the people](https://www.wearedevelopers.com/videos/461-gitops-for-the-people)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)