AI Data Scientist

Employer description

Leidos is seeking a hands-on AI Data Scientist to support the development of modern training, education, and mission-support applications for national security programs. This role combines applied data science, AI/ML integration, and modern software engineering to build scalable, interactive learning and training systems within classified environments.

This is an individual contributor role focused on execution and delivery. We are seeking a technical doer — someone who actively designs and builds production systems, contributes code daily, and works across the full application stack. The ideal candidate brings strong TypeScript and modern front-end development experience alongside practical AI/ML and data science skills that can be applied to operational training and education environments.

You will work closely with instructional designers, software engineers, mission stakeholders, analysts, and UX teams to create intelligent, data-driven learning platforms and operational training tools.

Primary Responsibilities

Design, develop, and maintain modern web-based training and learning applicationsBuild responsive, scalable, and accessible front-end applications using TypeScript and modern frameworksDevelop and integrate AI/ML-enabled capabilities into training and operational support systemsApply data science and analytics techniques to support adaptive learning, user insights, performance analysis, and mission workflowsCollaborate with instructional designers and subject matter experts to translate learning objectives into interactive digital experiencesIntegrate front-end systems with APIs, backend services, AI/ML pipelines, and enterprise platformsDevelop reusable UI components, visualizations, and workflows supporting scalable training ecosystemsWork with structured and unstructured data sources across enterprise and classified environmentsParticipate in the full software development lifecycle including architecture, implementation, testing, deployment, and sustainmentSupport deployment and operationalization of AI/ML capabilities within production systemsUtilize modern AI-assisted development workflows and coding agents to accelerate software delivery, prototyping, testing, refactoring, and documentationApply contemporary engineering practices using AI-powered development tools while maintaining strong standards for code quality, security, maintainability, and testingEvaluate and integrate emerging developer tooling and agentic engineering capabilities into team workflows and application development practicesTroubleshoot application, integration, and data-related issues across distributed environmentsContribute to software engineering standards, reusable frameworks, and development best practicesStay current with emerging front-end, AI/ML, and learning technology trends
Basic Qualifications

Bachelor’s degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering, or related technical field with 12+ years of relevant experience or a Master’s degree with 10+ years experience. Additional experience may be considered in lieu of degreeStrong hands-on software engineering experience with TypeScript and modern front-end developmentExperience with modern front-end frameworks such as React, Next.js, Angular, or VuePractical experience applying data science, analytics, or AI/ML techniques to real-world applicationsProficiency in Python and familiarity with common data science and machine learning librariesExperience integrating applications with APIs, backend systems, and data servicesFamiliarity with AI/ML workflows including data preparation, model integration, inference pipelines, or analytics processingExperience using modern AI-assisted software development tools and coding agents within professional engineering workflowsFamiliarity with contemporary AI coding ecosystems and developer productivity tools such as Claude Code, OpenAI Codex, Cursor, OpenCode, GitHub Copilot, or similar platformsDemonstrated ability to effectively leverage AI-assisted development while maintaining sound software engineering fundamentals, debugging practices, testing discipline, and secure coding standardsStrong understanding of modern software development practices including Git, CI/CD, automated testing, and agile methodologiesDemonstrated ability to independently design and implement production-ready technical solutionsStrong analytical, troubleshooting, and problem-solving skillsStrong written and verbal communication skillsMust hold an active TS/SCI clearance with Polygraph
Preferred Qualifications

Experience supporting training, education, simulation, or learning technology environmentsExperience building intelligent tutoring systems, adaptive learning platforms, or analytics-driven training applicationsExperience working with large language models (LLMs), generative AI, NLP, or AI-assisted user experiencesFamiliarity with AI frameworks and ecosystems such as Hugging Face, LangChain, vector databases, or agentic AI frameworksExperience developing applications using agentic or AI-accelerated software engineering workflowsFamiliarity with AI-enabled developer tooling integrated into modern IDEs, terminals, and CI/CD environmentsExperience evaluating, customizing, or operationalizing AI coding agents for enterprise or mission-focused development environmentsExperience combining AI-assisted development with modern TypeScript, React, or full-stack application architecturesExperience with data visualization, interactive analytics, or dashboard developmentExperience working with learning ecosystems or standards such as SCORM, xAPI, or LMS integrationsFamiliarity with Node.js or full-stack application developmentExperience deploying applications in cloud or enterprise environmentsExperience modernizing legacy applications into modern web architecturesExperience supporting Department of Defense, Intelligence Community, or national security customers
Desired Candidate Profile

The ideal candidate is:

A builder and hands-on engineer firstComfortable owning implementation from concept through deploymentCurrent on modern front-end and AI-assisted engineering practicesEqually comfortable working across UI, data, APIs, and AI integration layersInterested in education, training, simulation, or mission learning environmentsAble to balance speed, experimentation, and engineering discipline in production systemsComfortable operating in modern AI-accelerated engineering environments where coding agents and AI-assisted workflows are part of day-to-day software development practicesIf 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:October 19, 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 $131,300.00 - $237,350.00

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.