Senior Data Scientist

About the role

Leidos is recruiting a Senior Data Scientist to support the Defense Intelligence Agency's Enterprise Digital Modernization Accelerator initiative, which deploys enterprise-scale AI, data and mission platform capabilities across cloud, edge and classified environments. The role involves designing, developing and deploying advanced analytics and AI/ML solutions for mission-critical applications, with flexible work arrangements including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).

Key responsibilities

• Lead the design, development and deployment of advanced analytics and AI/ML solutions for mission-critical applications.
• Collaborate with analysts, engineers and developers to deliver production-ready algorithms and platforms.
• Apply statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI and operational analytics.
• Work with structured, unstructured, open source and digital media data using Python, PyTorch, Scikit-learn, LLM frameworks and geospatial analytics platforms.
• Contribute to integrating AI, DevSecOps, data engineering, platform engineering, cybersecurity and observability.

Required profile

• Bachelor's, Master's or equivalent graduate degree in a quantitative or analytical field; relevant experience may substitute for a degree.
• 12+ years of experience in data science, analytics or quantitative intelligence analysis (10+ years with a Master's).
• Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
• Demonstrated experience building and deploying complex analytical platforms with hybrid teams.

Required skills

• Proficiency in Python and at least one other scripting language.
• Familiarity with git, svn, JIRA, Docker, Kubernetes and OpenShift.
• Preferred: knowledge graphs (Neo4j, graph ML), SQL, Elastic Stack, Hadoop, Ray, Spark, Azure/C2S, and familiarity with LLMs, LangChain, vLLM and llama.cpp.

Pay range: $131,300 - $237,350.