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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** E Source - **Location:** Boulder, CO, United States (Remote available) - **Experience:** Expert - **Salary:** $85,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Code Review, Data Files, R (Programming Language), Python (Programming Language), SQL Databases, Git, Information Technology, Data Analytics, Software Coding, Software Version Control, Programming Languages - **Published:** August 10, 2026 - **Apply:** https://jobs.ashbyhq.com/e-source/cda81d86-c650-4ad0-837c-3bab6584c922 ## About the Role * Are passionate about creative and rigorous applications of data analytics. * Have exceptional attention to detail and a demonstrated ability to independently implement analytical approaches with limited guidance. * Are highly motivated, with a demonstrated track record of thinking critically about your work. * Have strong written and oral communication skills, including the ability to communicate with people at all levels of statistical knowledge in the organization. * Can carry out and prioritize multiple assigned tasks and deadlines simultaneously and flexibly. And even better if you: * Have experience with version control software, such as Git, and collaborative code development. * Have experience with Databricks or Spark. * Have coursework or applied experience in the energy industry, including impact evaluation of energy efficiency, demand response, and/or distributed energy resources programs and initiatives., * Hold an advanced degree in economics, statistics, data science, quantitative social science, or another quantitative field (a bachelor's degree plus industry experience will be considered). * Have three or more years of experience in a data science or analytics-related role. * Have expertise with R, Python, SQL, or other programming languages to merge, clean, and model large and complex data sets., 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, 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., As a Staff Data Scientist, you will lead complex marketplace problem-solving, architect ML systems, mentor teams, and drive data science strategy in partnership with engineering and product management., As a Senior Data Scientist, you will identify business opportunities, build machine learning solutions, partner cross-functionally, and translate analyses into actionable insights., As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis. Top Skills: BigQueryClickhouseDruidLlmsMachine LearningNatural Language ProcessingPower BIPythonRedshiftSQLTableau What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation. Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Are Code Reviews Worth It? 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