Data Scientist Artificial Intelligence, Cloud & Automation

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 network attack and computer network defense using automated data pipelines to ingest and act on multi-source security telemetry.

• Secure Cloud Ops: 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.

• Operational Intelligence Integration: Synchronize AI-driven intelligence planning with operational timelines to provide actionable real-time insights for mission execution.

• Tactical AI/ML Engineering: Develop production-ready softwarefrom vision to deploymentthat 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 understanding of OCO/DCO tactics techniques and procedures (TTPs) and the USCYBERCOM mission roadmap.

• Certification: Must meet DoD 8140/8570 IAT Level II/III requirements (e.g. CISSP GCIH or CEH).

• Clearance: ActiveTop Secret (TS)SCI and active Counterintelligence (CI) Polygraph.

• This position supports mission-critical operations that may require surge support. While the normal work schedule 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 youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.