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# Data Scientist mid-level TS/SCI CI poly

- **Company:** Tenica and Associates
- **Location:** Chantilly, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Cyber Security, Computer Programming, Data Files, Identity and Access Management, Internet Security, Tableau (Software), Infrastructure Automation Frameworks, Data Analytics, Vulnerability Analysis
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-mid-level-ts-sci-ci-poly-chantilly-va--2f7d80c7-9afc-4e20-a017-c059ee9f0c66

## About the Role

Mathematical Science Occupations, All Other

Skills

Data Science, Sensitive Compartmented Information (SCI), Top Secret Clearance, Sensitive Compartmented Information (SCI), Top Secret Clearance, Data Science, Internet Security, Customer Support/Service, Analysis Skills, Data Sets, Required:

 * Must possess and be able to maintain a TS/SCI with Poly· Able to support customer's core hours (0900-1500; Mon - Fri)
 * Must possess DoD 8570 certification in IAT or IAM or able to attain within 6 months of contract start

## Description

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to:

 * Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large cybersecurity data sets
 * Develop data-driven solutions
 * Analyze data sets found in the customer's vulnerability scanning, auditing, authorization, and configuration management tools
 * Import, transform, analyze, and visualize data and report actionable insights to the customer (e.g., Tableau)
 * Provide analysis and graphical presentations of collected metrics for IA compliance status reporting
 * Support and evolve legacy visualization and situational awareness tools based on Microsoft Excel into modern data-driven solutions
 * Collaborate with Risk Management teams to develop means to integrate, automate, and provide dynamic visualization capabilities for risk management efforts