Data Scientist - Artificial Intelligence, Cloud & Automation
AI summary of the role
Senior Data Scientist role supporting USCYBERCOM, architecting and operationalizing AI-driven capabilities for full-spectrum cyber operations (OCO/DCO).
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design AI agents and LLM-enabled workflows to automate the Joint Operational Planning Process (JOPP) for deconflicting and synchronizing OCO and DCO activities.
- Build AI-powered platforms for computer network attack and defense using automated data pipelines from multi-source security telemetry.
- Deploy and scale AI/ML models within secure AWS/Azure GovCloud environments using Kubernetes and Terraform.
- Synchronize AI-driven intelligence planning with operational timelines for real-time mission execution insights.
What you’ll bring
- 12+ years in cyber engineering, data science, or software development with full-spectrum cyber operations experience.
- 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 USCYBERCOM mission roadmap.
- Must meet DoD 8140/8570 IAT Level II/III requirements (e.g., CISSP, GCIH, or CEH).
Technologies
Python · SQL · Java · LLMOps · RAG · vector databases · Kubernetes · Terraform · AWS GovCloud · Azure GovCloud
About Leidos
Builds mission-critical technology, engineering, cyber, defense, health, and infrastructure systems for U.S. government, allied, and commercial customers.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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. Primary Responsibilities. The Senior Full-Spectrum Cyber AI Engineer will architect and operationalize AI-driven capabilities that bridge the gap between OCO and DCO. You will lead the development of automated, "agentic" AI workflows that synchronize intelligence gathering, defensive hardening, and
More from the job description
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. Primary Responsibilities. The Senior Full-Spectrum Cyber AI Engineer will architect and operationalize AI-driven capabilities that bridge the gap between OCO and DCO. You will lead the development of automated, "agentic" AI workflows that synchronize intelligence gathering, defensive hardening, and offensive effect delivery. This role is critical for achieving "analytic superiority" by integrating AI into real-time command-and-control (C2) and mission management across all network tiers. Key Responsibilities Integrated Mission Automation: Design AI agents and LLM-enabled workflows to automate the Joint Operational Planning Process (JOPP), specifically for deconflicting and synchronizing OCO and DCO activities. Full-Spectrum Tool Development: Build AI-powered platforms for both computer n [... source excerpt omitted ...] ation: Synchronize AI-driven intelligence planning with operational timelines to provide actionable, real-time insights for mission execution. Tactical AI/ML Engineering: Develop production-ready software—from vision to deployment—that automates vulnerability remediation and enhances system resiliency against advanced state actors. Basic Qualifications. Minimum Qualifications Experience: 12+ years in cyber engineering, data science, or software development, with specific experience in full-spectrum cyber operations missions. Technical Skills: Expert proficiency in Python, SQL, and Java; experience with LLMOps, RAG patterns, and vector databases. Operational Knowledge: Deep und [... source excerpt omitted ...] edule is an 8-hour day, the role may require extended work hours, including up to 12-hour shifts and/or 7 days per week, during periods of increased operational demand. Preferred Qualifications. 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. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're alrea
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