Data Scientist

Leidos • Odenton, MD

1d

About The Position

Leidos Intelligence Sector seeks an experienced, subject matter expert-level Data Scientist to support United States Cyber Command (USCYBERCOM). The role involves architecting frameworks for analytic superiority and engineering AI capabilities for production use. The Data Scientist is expected to work hands-on to resolve complex technical challenges and mentor senior technologists by example.

The position focuses on agentic AI frameworks, fine-tuning open-source models in air-gapped enclaves, building Retrieval-Augmented Generation (RAG) stacks, integrating mission systems, and developing with Python, Go, and Bash. The role requires a TS/SCI clearance with CI Poly. The posting describes a requirement for 12–15+ years in technical roles, including 5+ years in machine learning engineering or data science and 3–5 years in the IC/DoD ecosystem.

Requirements

• 12–15+ years of experience in technical roles.
• At least 5 years specifically in Machine Learning Engineering or Data Science.
• 3–5 years working within the Intelligence Community or Department of Defense ecosystem, specifically with systems such as Maven or TACMS.
• Expertise deploying LangGraph, CrewAI, or AutoGPT.
• Hands-on experience fine-tuning open-source models such as Llama 3 or Mistral in air-gapped enclaves using PyTorch or TensorFlow.
• Experience engineering RAG stacks using LangChain and vector databases such as Milvus or Pinecone.
• Proficiency with unified mission systems such as Kudu Dynamic, TACMS, or Maven Support Systems, including custom API integration.
• Mastery of Python, Go, and Bash.
• Master’s degree or PhD in Data Science, Artificial Intelligence, Computer Science, or Mathematics; the posting states that a bachelor’s degree plus an additional 5+ years of high-level engineering experience may substitute for a master’s degree.
• TS/SCI clearance with CI Poly.

Nice To Haves

• Google Professional ML Engineer certification.
• AWS Machine Learning Specialty certification.
• NVIDIA Generative AI/LLM Associate certification.
• CMF Work Role Certification in Exploitation or Network Analyst, or experience as a 170A/17A.

Responsibilities

• Architect frameworks to achieve analytic superiority.
• Engineer AI capabilities and push them into production.
• Work hands-on to solve complex technical roadblocks.
• Mentor senior technologists by example.
• Deploy agentic AI frameworks to support network defense.
• Fine-tune open-source models in air-gapped enclaves.
• Engineer Retrieval-Augmented Generation (RAG) stacks using LangChain and vector databases.
• Integrate mission systems through custom APIs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior