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# Data Scientist

- **Company:** MITRE Corporation
- **Location:** Boulder, CO, United States
- **Salary:** $98,800.0 - $123,500.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Computer Simulation, Data Cleansing, Decision Support Systems, Experimental Data, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Programming Environments, Signal Processing, SQL Databases, Stata, Jupyter Notebook, Git, Information Technology
- **Published:** September 3, 2026
- **Apply:** https://dejobs.org/x/x/865615231FC54ECA87FE1B7A413A7EAF/job/

## About the Role

* Bachelor of Science (BS) or Bachelor of Arts (BA) degree in Data Science, Statistics, Mathematics, Computer Science, Electrical Engineering, Physics, or another relevant quantitative or technical discipline.
 * Experience applying data-science, statistical, or computational methods to technical or scientific data.
 * Foundational knowledge of statistics, data analysis, experimental data, and visualization, with the ability to apply established analytical methods to routine problems.
 * Ability to clean, organize, analyze, and interpret structured, time-series, or other scientific and engineering datasets.
 * Familiarity with at least one analytical or programming environment such as Python, R, Stata, MATLAB, or a similar tool.
 * Ability to document analytical methods and results, communicate technical findings clearly, and work effectively on multidisciplinary teams.
 * Ability to work on-site at the government sponsor facility in Boulder, CO.
 * This position requires a minimum of 3 days a week on-site., * Experience with RF, wireless communications, electromagnetic spectrum, signal processing, test and evaluation, or scientific measurement data; familiarity with additional data-science tools or methods such as SQL, Git, Jupyter notebooks, statistical modeling, machine learning, geospatial analysis, or large time-series datasets is a plus.

## Description

* Spectrum/RF Data Analysis: Analyze measured, simulated, and derived spectrum/RF datasets from testbeds, experiments, and spectrum study plans using statistical and computational techniques.
 * Reproducible Analytics: Develop and maintain repeatable analysis workflows for data cleaning, transformation, exploratory analysis, visualization, and statistical testing using tools such as Python, R, Stata, MATLAB, or similar environments.
 * Data Quality & Validation: Perform data-quality checks, identify anomalies and gaps, document assumptions, and work with test engineers to understand collection conditions, instrumentation, and metadata.
 * Spectrum Study Support: Support spectrum studies by translating study questions into analytical tasks, metrics, and visualizations using established methods and guidance from senior technical staff.
 * Decision Support: Synthesize quantitative results into clear findings, charts, and technical inputs that help sponsors evaluate spectrum sharing, coexistence, and mission-protection tradeoffs.
 * Collaboration: Work with RF engineers, data scientists, test personnel, and sponsor stakeholders to interpret results, resolve routine analytical questions, and contribute to team objectives.
 * Documentation & Communication: Document methods and results, contribute to technical reports and briefings, and communicate moderately complex technical information clearly to technical teammates and sponsor partners.


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