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# Data Scientist

- **Company:** M9 Solutions
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, JIRA, Databases, Data Cleansing, Data Transformation, Data Visualization, Python (Programming Language), Machine Learning, Raw Data, Information Technology, Data Analytics
- **Published:** September 10, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9154581/data-scientist

## About the Role

* Top Secret SCI security clearance.
 * Bachelor's degree or equivalent practical experience.
 * 4 - 6+ years of experience in computer science, data science, and data analytics.
 * Experience executing data science methods using Python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, and Data Visualization.
 * Strong proficiency in programming languages such as Python.
 * Agile development experience along with related technologies (e.g., Jira).
 * Strong communication and interpersonal skills.

## Description

* Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts.
 * Design and deliver infographics across a range of media platforms.
 * Identify and process raw data, trends, analysis, and assessments in order to aggregate disparate information, leveraging both analytic and visualization tools.
 * Leverage knowledge of databases and methodologies to determine appropriate sources, determine indicators and relationships, and generate intelligence support packages.
 * Provide tailored communications to innovation stakeholders in meetings, demos, and other client engagements, as well as support analytic innovation, development, and data analytics activities for the client and stakeholders.
 * Brief the client on assessments and prepare briefings based on finished analysis, including preparing daily briefings for senior policy and operational decision makers.
 * Develop machine learning models with attention to model accuracy.
 * Draft technical methodologies and participate in architectural reviews.
 * Document processes and solutions that serve as communication findings for both technical and non-technical stakeholders.