Senior Software Engineer / Data Scientist (Training Systems)
AI summary of the role
This is an individual contributor role combining applied data science, AI/ML integration, and modern software engineering to build scalable, interactive learning and training systems for national security programs within classified environments.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, develop, and maintain modern web-based training and learning applications using TypeScript and modern frameworks
- Develop and integrate AI/ML-enabled capabilities into training and operational support systems
- Apply data science and analytics techniques to support adaptive learning, user insights, performance analysis, and mission workflows
- Integrate front-end systems with APIs, backend services, AI/ML pipelines, and enterprise platforms
What you’ll bring
- Bachelor's degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering, or related technical field with 8+ years of relevant experience and 15+ years overall experience
- Strong hands-on software engineering experience with TypeScript and modern front-end development
- Experience with modern front-end frameworks such as React, Next.js, Angular, or Vue
- Practical experience applying data science, analytics, or AI/ML techniques to real-world applications
Technologies
TypeScript · React · Next.js · Angular · Vue · Python · AI/ML · LLMs · Hugging Face · LangChain · vector databases · Git
About Leidos
Builds mission-critical technology, engineering, cyber, defense, health, and infrastructure systems for U.S. government, allied, and commercial customers.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Leidos is seeking a hands-on Senior Software Engineer / 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
More from the job description
Leidos is seeking a hands-on Senior Software Engineer / 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 applications Build responsive, scalable, and accessible front-end applications using TypeScript and modern frameworks Develop and integrate AI/ML-enabled capabilities into training and operational support systems Apply data science and analytics techniques to support a [... source excerpt omitted ...] software development lifecycle including architecture, implementation, testing, deployment, and sustainment Support deployment and operationalization of AI/ML capabilities within production systems Utilize modern AI-assisted development workflows and coding agents to accelerate software delivery, prototyping, testing, refactoring, and documentation Apply contemporary engineering practices using AI-powered development tools while maintaining strong standards for code quality, security, maintainability, and testing Evaluate and integrate emerging developer tooling and agentic engineering capabilities into team workflows and application development practices Troubleshoot applicat [... source excerpt omitted ...] ntribute to software engineering standards, reusable frameworks, and development best practices Stay 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 8+ years of relevant experience and 15+ years overall experience; additional experience may be considered in lieu of degree Strong hands-on software engineering experience with TypeScript and modern front-end development Experience with modern front-end frameworks such as React, Next.js, Angular, or Vue Practical experience applying data science, analytics, or
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