**Description
Leidos** has new and exciting opportunities for experienced a Data Scientists in our Intelligence Sector, Cyber & Analytics Business Area (CABA). The work focuses on applying your AI/ML experience to assess large datasets to support development and improvement of CNO Community capabilities with analytics and tools for CNE, Malware Analysis, and sensor improvement. You will have the opportunity to apply your knowledge of data modeling, large language models (LLM), and qualitative and quantitative techniques to normalize, analyze, and visualize RF, PERFORMA, and other SIGINT data in a large-scale data processing environment using technologies such as Spark, cloud data platforms, Python, and SQL.
What will you do in this role?
- Devise strategies for extracting meaning and value from large datasets and answer analytic questions into technical requirements providing principled conclusions from the data using elements of mathematics, statistics, computer science, AI/ML, and domain specific knowledge.
- Characterize, explore, and assess large datasets in various states of organization, cleanliness, and structure inherent in Intelligence data holdings for mission needs.
- Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting intelligence collection, processing, storage and analytic capabilities and limitations.
Minimum Requirements Include:
- To qualify for work in this environment, you must currently hold a Top Secret/SCI clearance.
- Bachelor's Degree in areas such as Computer Science, Mathematics, Statistics, Artificial Intelligence/Machine Learning, Data Science, and Operations Research and 10 years of relevant experience.
- An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
- A degree in other technical fields if you have a coursework concentrating in advanced mathematics, probability and statistics, artificial intelligence/machine learning, computer science, and/or data mining.
- A broader range of degrees will be considered if accompanied by certificate in areas such as Data Science and AI/ML.
- Skill in at least one high-level language such as Python and at least one language such as C/C++ and experience developing data visualization using Tableau, Power BI, or Python libraries.
- Ability to translate complex data into strategic insights and automated analytics workflow development and effectively communicate complex technical information to non-technical audiences and collaborate effectively.
- Experience in Intelligence or cyber operations and analysis with target knowledge or experience is a plus.
At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”
If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.
Original Posting:
January 8, 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.
About Leidos
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 www.Leidos.com.
Pay and Benefits
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.
Securing Your Data
Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected].
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.