Leidos is seeking a Senior Data Scientist to provide technical leadership and advanced analytics expertise in support of mission-critical national security programs. This role supports customers operating in classified environments and requires close collaboration with subject matter experts, designers, engineers, analysts, and mission stakeholders to deliver innovative, operationally relevant data science and AI solutions.The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle-from problem definition and requirements development through design, implementation, deployment, and ongoing operations and maintenance (O&M). The ideal candidate brings deep technical expertise, strong mission awareness, and the ability to communicate analytic insights to senior decision-makers.Primary ResponsibilitiesServe as a senior technical contributor and analytic lead on complex, high-impact national security programsPartner with government customers and subject matter experts to define mission problems and analytic objectivesTranslate ambiguous operational challenges into actionable data science requirements and solution designsDesign, develop, and deploy advanced analytics, statistical models, and machine learning solutionsApply advanced data science techniques including exploratory data analysis, feature engineering, predictive modeling, hypothesis testing, and algorithm developmentIntegrate structured and unstructured data from diverse sources across classified environmentsCommunicate analytic findings, insights, and recommendations to senior technical and non-technical stakeholdersSupport deployment, monitoring, and ongoing operations and maintenance (O&M) of analytic solutionsMentor and guide junior data scientists and contribute to analytic standards, best practices, and reusable frameworksMaintain awareness of emerging data science, AI, and big-data technologies relevant to national security missionsBasic QualificationsMaster's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field with 15+ years of relevant experience, or Bachelor's degree with 18+ years of relevant experienceExtensive experience applying data science and advanced analytics to complex, mission-focused problemsExpert-level proficiency in Python and/or R, including advanced data science and machine learning librariesStrong experience working with large, complex datasets from multiple sourcesDemonstrated ability to lead technical efforts and influence analytic direction on large or complex programsStrong written and verbal communication skills, including briefing senior leadersMust hold an active TS/SCI clearance with PolygraphPreferred QualificationsExperience supporting intelligence community, Department of Defense, or other national security customersExperience operating in classified computing environmentsExpertise in one or more advanced domains such as machine learning, natural language processing, computer vision, graph analytics, or predictive modelingExperience with cloud-based or enterprise analytics platformsDemonstrated experience mentoring technical staff or serving as a technical leadDemonstrated experience providing instruction, instructional design, or curriculum developmentClearance RequirementActive TS/SCI with PolygraphIf 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:January 14, 2026For 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 $154,050.00 - $278,475.00The 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.