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# Data Scientist - Active TS/SCI with CI Polygraph (CIP)

- **Company:** TOMORROW HIRE
- **Location:** McLean, VA, United States
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Programming, Data Governance, Data Infrastructure, Data Visualization, Machine Learning, Unstructured Data, Data Strategy, Data Analytics, Data Management
- **Published:** October 22, 2026
- **Apply:** https://www.thejobnetwork.com/job/f8b0cb75-2e87-4ba2-ac49-d0551e79e15f/data-scientist-active-tssci-with-ci-polygraph-cip

## About the Role

* Knowledge of research design principles
 * Knowledge of analytic methods and methodological tools used in applied mathematics, computer programming, or data visualization
 * Ability to apply supervised and unsupervised machine learning algorithms on structured and unstructured datasets
 * Bachelor's degree
 * Active TS/SCI with CI Polygraph (CIP)
 * Must work on-site in McLean, VA

Preferred Qualifications:

 * Knowledge of data strategy and data governance
 * Ability to advise clients on data acquisition, data management, and data infrastructure
 * Ability to execute projects and tasks with minimal guidance and supervision

## Description

We are seeking a Data Scientist to support mission-focused work. The Data Scientist applies quantitative, analytical, and statistical methods to explore, model, and extract actionable insights from complex structured and unstructured datasets. Operating within a multi-disciplinary team, this role focuses on leveraging supervised and unsupervised machine learning algorithms, research design principles, and data science methodologies to support strategic client decision-making and data-driven solutions. The position requires an active TS/SCI with CI Polygraph (CIP)., * Machine Learning & Modeling: Design, train, and evaluate supervised and unsupervised machine learning models to analyze diverse structured and unstructured datasets.

 * Methodological Research: Apply research design principles, applied mathematics, computer programming, and data visualization tools to investigate complex data problems.
 * Client Advisory: Advise clients on data strategy, data acquisition, data governance, and data infrastructure implementations.
 * Data Visualization & Storytelling: Communicate analytical findings and data insights clearly through visual dashboards, written reports, and executive presentations.