Posted:
1/16/2026, 4:23:20 AM
Location(s):
Odenton, Maryland, United States ⋅ Maryland, United States
Experience Level(s):
Expert or higher
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Leidos has new and exciting opportunities for experienced a Data Scientist 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?
Minimum Requirements Include:
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.
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.
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.
Website: https://www.leidos.com/
Headquarter Location: Reston, Virginia, United States
Employee Count: 10001+
Year Founded: 1969
IPO Status: Public
Industries: Computer ⋅ Government ⋅ Information Services ⋅ Information Technology ⋅ National Security ⋅ Software