Senior Software Engineer Data Scientist (Training Systems)

Leidosis seeking a hands-on Senior Software Engineer / Data Scientistto 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 adaptive learning user insights performance analysis and mission workflows

• Collaborate with instructional designers and subject matter experts to translate learning objectives into interactive digital experiences

• Integrate front-end systems with APIs backend services AI/ML pipelines and enterprise platforms

• Develop reusable UI components visualizations and workflows supporting scalable training ecosystems

• Work with structured and unstructured data sources across enterprise and classified environments

• Participate in the full 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 application integration and data-related issues across distributed environments

• Contribute to software engineering standards reusable frameworks and development best practices

• Stay current with emerging front-end AI/ML and learning technology trends

Basic Qualifications

• Bachelors 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 Angular or Vue

• Practical experience applying data science analytics or AI/ML techniques to real-world applications

• Proficiency in Python and familiarity with common data science and machine learning libraries

• Experience integrating applications with APIs backend systems and data services

• Familiarity with AI/ML workflows including data preparation model integration inference pipelines or analytics processing

• Experience using modern AI-assisted software development tools and coding agents within professional engineering workflows

• Familiarity with contemporary AI coding ecosystems and developer productivity tools such as Claude Code OpenAI Codex Cursor OpenCode GitHub Copilot or similar platforms

• Demonstrated ability to effectively leverage AI-assisted development while maintaining sound software engineering fundamentals debugging practices testing discipline and secure coding standards

• Strong understanding of modern software development practices including Git CI/CD automated testing and agile methodologies

• Demonstrated ability to independently design and implement production-ready technical solutions

• Strong analytical troubleshooting and problem-solving skills

• Strong written and verbal communication skills

• Must hold an active TS/SCI clearance with Polygraph

Preferred Qualifications

• Experience supporting training education simulation or learning technology environments

• Experience building intelligent tutoring systems adaptive learning platforms or analytics-driven training applications

• Experience working with large language models (LLMs) generative AI NLP or AI-assisted user experiences

• Familiarity with AI frameworks and ecosystems such as Hugging Face LangChain vector databases or agentic AI frameworks

• Experience developing applications using agentic or AI-accelerated software engineering workflows

• Familiarity with AI-enabled developer tooling integrated into modern IDEs terminals and CI/CD environments

• Experience evaluating customizing or operationalizing AI coding agents for enterprise or mission-focused development environments

• Experience combining AI-assisted development with modern TypeScript React or full-stack application architectures

• Experience with data visualization interactive analytics or dashboard development

• Experience working with learning ecosystems or standards such as SCORM xAPI or LMS integrations

• Familiarity with or full-stack application development

• Experience deploying applications in cloud or enterprise environments

• Experience modernizing legacy applications into modern web architectures

• Experience supporting Department of Defense Intelligence Community or national security customers

Desired Candidate Profile

The ideal candidate is:

• A builder and hands-on engineer first

• Comfortable owning implementation from concept through deployment

• Current on modern front-end and AI-assisted engineering practices

• Equally comfortable working across UI data APIs and AI integration layers

• Interested in education training simulation or mission learning environments

• Able to balance speed experimentation and engineering discipline in production systems

• Comfortable operating in modern AI-accelerated engineering environments where coding agents and AI-assisted workflows are part of day-to-day software development practices

Clearance Requirement

Active TS/SCI with Polygraph

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand 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.