Data Scientist - levels - TS​/SCI

Description

The Mission Solutions Business Area at Leidos has an opening for a Data Scientist in Reston, Virginia to support a fast‑paced software development team working on projects critical to National Security. The primary focus of the group is reverse engineering Weapons of Mass Destruction (WMD) related installations. Candidates must bring a creative, yet sound, approach to identifying and solving challenges, and have exceptional attention to detail and a commitment to thoroughness.

The successful candidate will have experience in statistical analysis, data ingestion/processing, and methods/analytics development to support our customer’s data analytics program. You will work as part of a team to support the verification and validation of computer‑assisted product development and to present the results to the customer.

• Build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings.
• Perform research on various data sources, including unstructured data using quantitative and qualitative content analytics.
• Construct and perform complex database search queries in multiple databases using SQL and API interfaces.
• Perform web scraping and apply various techniques for processing unstructured data. The scientist will leverage automation and machine learning to manage data, predict scenarios, and make recommendations.
• Contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment.
• Learn and leverage emerging technologies including AWS and Git.
• Excellent written and verbal communication skills with the ability to successfully brief and interact with personnel at all levels of experience, including Senior Officials.

• US Citizenship is required.
• Candidate must possess an active TS/SCI, or a Top Secret clearance with a current SSBI, and be eligible to obtain a TS/SCI with poly‑level clearance.
• BS degree and >6 years of prior relevant experience or MS with >4 years of prior relevant experience. May possess a Doctorate in a technical domain.
• Must have a Data Science, Operations Research or related degree.
• Strong experience with Python.
• Experience working with data manipulation, analytic/business insight tools, and data visualization experience.
• Experience constructing and performing complex database search queries.
• Experience/knowledge of computer science concepts, data architecture, and experience/knowledge of statistics.
• Demonstrated experience using statistical and machine learning techniques including supervised and unsupervised learning and natural language processing.
• Experience/familiarity with frequentist statistics and probability including predictive modeling.
• Ability to communicate technical findings to non‑technical audiences.

• Experience with spatial (3D) or building infrastructure (e.g., electrical, HVAC systems) data.
• Experience with AI model development.
• Experience with Defense Intelligence Agency computer systems and data management processes.

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo—because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30—and moving faster than anyone else dares.

September 24, 2025

For U.S. Positions:
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range: $ – $

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit

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