Data Scientist - Artificial Intelligence, Cloud & Automation

Leidos•Fort Meade, MD

3d•Onsite

About The Position

The Cyber & Analytics Business Unit with the Intel Sector at Leidos currently has an opening for a Data Scientist, with a deep understanding of Artificial Intelligence, Cloud, and Automation to support USCYBERCOM. This is an exciting opportunity to use your experience helping the Cyberspace Operations Support Services 3.0 mission. In this mission we support the advancement of USCYBERCOM, the CNMF, and JTF-ARES as it transforms to achieve the objectives outlined in USCYBERCOM 2.0, 2026 National Cyber Strategy, and the USCYBERCOM AI Strategy. Moving from opportunistic AI to systemic adoption.

Requirements

Minimum 12+ years in cyber engineering, data science, or software development, with specific experience in full-spectrum cyber operations missions.
Expert proficiency in Python, SQL, and Java.
Experience with LLMOps, RAG patterns, and vector databases.
Deep understanding of OCO/DCO tactics, techniques, and procedures (TTPs) and the USCYBERCOM mission roadmap.
Must meet DoD 8140/8570 IAT Level II/III requirements (e.g., CISSP, GCIH, or CEH).
Active Top Secret (TS), SCI and active Counterintelligence (CI) Polygraph.

Nice To Haves

Direct experience supporting USCYBERCOM National Mission Teams (NMT) or Combat Mission Teams (CMT).
Knowledge of the Cyber National Mission Force (CNMF) AI roadmap and federal laboratory technology transfer processes.

Responsibilities

Architect and operationalize AI-driven capabilities that bridge the gap between OCO and DCO.
Lead the development of automated, "agentic" AI workflows that synchronize intelligence gathering, defensive hardening, and offensive effect delivery.
Integrate AI into real-time command-and-control (C2) and mission management across all network tiers.
Design AI agents and LLM-enabled workflows to automate the Joint Operational Planning Process (JOPP), specifically for deconflicting and synchronizing OCO and DCO activities.
Build AI-powered platforms for both computer network attack and computer network defense, using automated data pipelines to ingest and act on multi-source security telemetry.
Deploy and scale AI/ML models within secure AWS/Azure GovCloud environments, utilizing Kubernetes and Infrastructure as Code (Terraform) to ensure mission agility and continuous delivery.
Synchronize AI-driven intelligence planning with operational timelines to provide actionable, real-time insights for mission execution.
Develop production-ready software—from vision to deployment—that automates vulnerability remediation and enhances system resiliency against advanced state actors.