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# Data Scientist

- **Company:** VTG LLC
- **Location:** Herndon, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Signals Intelligence, Computer Networks, Content Analysis, Data Systems, Data Visualization, R (Programming Language), Python (Programming Language), PostgreSQL, Machine Learning, Software Engineering, SQL Databases, Gitlab, Information Technology, Data Analytics
- **Published:** August 14, 2026
- **Apply:** https://www.dice.com/job-detail/93e94eea-532c-4879-9f6f-518ad4a510c0

## About the Role

* Active TS/SCI with Polygraph required.
 * Bachelor's degree in computer science, Software Engineering, or related field.

Required:

 * TS/SCI with Full Scope Polygraph
 * BS in a quantitative field (mathematics, data science, statistics)
 * At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, data science, artificial intelligence or machine learning
 * Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab
 * Demonstrated experience with producing analytic insights from large scale data.
 * Demonstrated experience with quantitative analysis, machine learning, and statistical modeling.
 * Experience conveying complex data science insights to non-technical audiences
 * Specific experience with the Palantir Foundry/Gotham suite of tools

Desired:

 * Experience with telecommunications metadata and content analysis
 * Experience exploiting or deriving insights from SIGINT, computer network exploitation, or other technical collection
 * Prior counterintelligence experience
 * Specific interest in or experience with technical surveillance

## Description

* Collect, clean, and analyze large, complex datasets from multiple sources.
 * Develop and implement statistical models, predictive analytics, and machine learning algorithms.
 * Design experiments and evaluate models to ensure accuracy, reliability, and scalability.
 * Translate data-driven findings into clear business insights and recommendations.
 * Collaborate with cross-functional teams (engineering, product, business stakeholders) to identify opportunities for data solutions.
 * Create dashboards, reports, and data visualizations to effectively communicate results.
 * Stay up to date on industry trends, tools, and best practices in data science and AI/ML.


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