Leidos · Hampton, Virginia, US

Data Scientist

OpenFull-timePay not stated

Open — Leidos has a posting for this job. Posted 23 Jul 2026.

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Posted 23 Jul 2026 · Full-time · Pay not stated

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About this job

Step into a mission where what you do truly matters!

At Leidos, innovation is at the heart of everything we do. Powered by a team as diverse as it is talented, we're driven by a shared passion for delivering bold solutions that fuel our customers' success. We believe in empowering our people, giving back to our communities, and leading with sustainability. Every action we take is grounded in integrity and a steadfast commitment to doing what’s right—for our customers, our teams, and the world around us. Our Mission, Vision, and Values aren't just words—they're the compass guiding our journey toward a brighter future.

If this sounds like the kind of environment where you can thrive, keep reading!

Leidos is excited to announce an opportunity for a mission-driven Sr. Data Scientist to support cutting-edge intelligence work at Joint Base Langley–Eustis in Hampton, VA! In this role, you’ll provide technical and analytical support and information and provide recommendations for data collection, algorithm development, processing, design and exploitation for the operations of ACC A2 Staff tasks and projects.

You’ll bring impactful, real-world solutions to the Air Force intelligence community.

Note-Funding expected to begin mid September.

What You’ll Do:

  • Design, develop, train, and deploy custom Machine Learning (ML) models and Artificial Intelligence (AI) algorithms to solve specific operational intelligence challenges. The Contractor shall continuously monitor, test, and refine these deployed models to ensure accuracy, reduce algorithmic bias, and mitigate hallucinations.
  • Primary focus is to develop and deliver specialized, hands-on training on the practical application of AI/ML frameworks to include those unique to AFSCI. The Contractor shall serve as an embedded technical mentor, providing "over-the-shoulder" support to train intelligence analysts on how to interpret AI-generated outputs, engineer effective prompts, and transition legacy analog workflows into modernized, AI-assisted processes.
  • Support data modeling builds, data coalescence and data element aggregation
  • Utilize statistics, data mining, and predictive analytics to manage large amounts of data, merge data sources, ensure consistency of datasets, create data visualizations, and build mathematical models and present findings.

What You’ll Need (Required:

  • Current TS/SCI security clearance
  • Master’s degree with 10+ years of relevant experience, or a Bachelor’s degree with 15+ years of relevant experience. Additional experience may be considered in lieu of a degree.”
  • Must have relevant experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering
  • Experienced in extracting and analyzing data from COTS products
  • Working knowledge in programming languages such as Python, R
  • Knowledgeable of machine learning toolkits
  • Excellent problem solving and analytic skills associated with working on unstructured datasets
  • Experience with a focus on multiple domains of intelligence or all-source intelligence
  • Must have well-developed organizational and time management skills
  • Strong written and oral communication skills, including ability to communicate detailed technical information to peers and non-technical management staff as needed
  • Proficient in Microsoft Office with the ability to edit, standardize, and revise materials prepared by other writers and illustrators.

AMSOPP1

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.

Original Posting:

July 23, 2026

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:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Read the full posting

Not this job's pay

What do Corporate – Information Technology jobs in Virginia pay?

Talentify has no pay figure for this posting. The lines below are about Corporate – Information Technology jobs on Talentify in Virginia as a group, computed by Talentify's job index across their postings. They are not the pay for this job.

Of the 981 Corporate – Information Technology jobs on Talentify in Virginia, 188 list pay per year.

Taking the midpoint of each listed range, the middle half pay 105,262–160,000 USD per year and the median is 130,250 USD per year.

97 of these 188 name no currency; they are counted as USD because the jobs are in the United States.

Pay as employers listed it, not adjusted or verified. Updated 2026-11-07.

Computed on 2026-11-07 from the pay in 188 listings.

Not this job's pay

U.S. Bureau of Labor Statistics, for Data Scientists, the occupation this job title matches. It describes the occupation, not this job.

The median wage for Data Scientists in Virginia was 60.79 USD per hour (126,430 USD per year) in May 2025; the middle half earned 46.82–79.62 USD per hour.

U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025

Data Scientist pay and outlook in Virginia

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