Senior Software Engineer & Data Scientist

  • Leidos
  • Chantilly, Virginia
  • 10/31/2026
Full time Information Technology Telecommunications

Job Description

Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver advanced analytics and mission-critical software solutions for government and commercial clients. In this role, you will architect and implement scalable services, data pipelines, and machine learning models that power high-impact systems in national security, health, and engineering. You will collaborate closely with cross-functional teams, translate complex mission needs into robust technical designs, and ensure secure, high-quality, and well-tested code. As a senior contributor, you will mentor others, drive technical decisions, and help shape innovative solutions in a mission-driven, collaborative, and learning-focused environment.

Responsibilities

  • Design, build, and deploy scalable software and data solutions for mission-critical systems
  • Develop, train, and optimize machine learning and analytics models
  • Architect cloud-native and distributed data processing pipelines
  • Write clean, secure, and well-tested code following best practices
  • Collaborate with cross-functional teams to translate mission needs into technical solutions
  • Optimize system performance, reliability, and scalability in production environments
  • Guide technical decisions, conduct code reviews, and mentor junior engineers
  • Document system designs, models, and implementation details
  • Ensure compliance with security, privacy, and regulatory requirements
  • Contribute to innovation, prototypes, and continuous improvement initiatives

Required Skills

  • Python
  • Java or C++Machine learning and statistical modeling
  • Data engineering and ETL pipelines
  • Cloud platforms (AWS, Azure, or GCP)
  • Distributed systems and microservices
  • SQL and No
  • SQL databases
  • Linux and containerization (Docker, Kubernetes)
  • Software testing and CI/CDSecure coding and system performance optimization