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EnergySolutions is an industry leader in the safe recycling, processing and disposal of nuclear material.
Data Scientist I, Solar Programs
Location
Kentucky + 4 moreAll locations: Kentucky | Montana | Nebraska | North Dakota | Mississippi
Posted
39 days ago
Salary
$95K - $115K / year
Seniority
Mid Level
Job Description
Data Scientist I, Solar Programs
EnergySolutions
• 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.
Job Requirements
- 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.
Benefits
- medical, dental and vision insurance
- other pre-tax contribution plans
- Employee Stock Ownership Plan (ESOP)
- generous retirement package
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