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.

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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:

Pay Range:

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.