Leidos

Data Scientist

Leidos Fort Meade, Maryland, United States · $108K–$195K/yr

Defense and Space Manufacturing · 10,001+ employees

19 h ago
data-scientist Principal (10+ yrs) Full-time United States
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About the role

Develop machine learning models to extract insights from complex intelligence datasets and translate analytic questions into technical solutions. Provide informed recommendations on technical approaches while communicating findings to both technical and non-technical stakeholders.

What they look for

Machine learning Deep learning Graph analytics Anomaly detection Python C++ C Tableau Power BI Data visualization Predictive intelligence Data mining Statistics Computer science Operations research

Requirements

Requires an active TS/SCI with polygraph and a bachelor's degree in a technical field with at least 10 years of relevant experience. Proficiency in Python and C/C++ is essential, along with experience in data visualization tools.

Benefits

401(k) with 6% match Immediate vesting Paid time off 11 holidays Flexible schedules Education support Parental leave

Full description

Leidos is seeking an experienced Data Scientist to join a multidisciplinary team of mission-focused analysts and reporters. In this role, you will apply machine learning and advanced analytics to sparse, noisy, and adversarial datasets to support predictive intelligence and deliver operational impact. You will leverage techniques such as deep learning, graph analytics, and anomaly detection to create decision advantage for analysts, operators, and mission leaders—contributing to intelligence capabilities for the next decade of national security.

This position is for multiple opportunities

Key Responsibilities

  • Develop machine learning models to extract insights from large, complex intelligence datasets.
  • Translate analytic questions into technical requirements and data-driven solutions.
  • Characterize and assess datasets in varying states of structure and quality.
  • Provide informed recommendations on technical approaches based on evolving intelligence capabilities and constraints.
  • Communicate findings clearly to both technical and non-technical stakeholders and support automated analytics workflow development.

Minimum Qualifications

  • Active TS/SCI with polygraph required
  • Bachelor’s degree in Computer Science, Mathematics, Statistics, AI/ML, Data Science, Operations Research, or related technical field with 10 years of relevant experience.
  • Associate’s degree with 12 years of relevant experience may be considered.
  • Other degrees with strong coursework in advanced math, statistics, AI/ML, computer science, or data mining, or relevant certifications (Data Science, AI/ML) will also be considered.
  • Proficiency in Python and C/C++ (or similar languages).
  • Experience with data visualization tools such as Tableau, Power BI, or Python libraries.
  • Ability to translate complex data into actionable insights and communicate effectively across teams.

Preferred: Experience supporting intelligence or cyber operations missions.

Leidos offers competitive benefits, clear technical and leadership advancement paths, 401(k) with 6% match and immediate vesting, paid time off, 11 holidays, flexible schedules, education support, parental leave, and more. Join us in advancing national security through innovation

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:

September 10, 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.

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