Data Scientist - Artificial Intelligence, Cloud & Automation

Leidos; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

Leidos is seeking a Data Scientist to support USCYBERCOM with a strong emphasis on Artificial Intelligence and Cloud technologies. This role is crucial for developing automated AI workflows and integrating them into cyber operations. Candidates should have at least 12 years of experience and be well-versed in Python, SQL, and Java, as well as hold active security clearances.

You will leverage your expertise to advance mission objectives in an innovative and fast-paced environment, ensuring operational excellence across the cyber domain.

Qualifications

• 12+ years in cyber engineering, data science, or software development.
• Expert proficiency in Python, SQL, and Java.
• Understanding of OCO/DCO tactics, techniques, and procedures.

Responsibilities

• Architect and operationalize AI-driven capabilities.
• Design AI agents and LLM-enabled workflows for JOPP.
• Build AI-powered platforms for cyber operations.

Skills

Python

SQL

Java

LLMOps

RAG patterns

Vector databases

Job description

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 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 software—from vision to deployment—that automates vulnerability remediation and enhances system resiliency against advanced state actors.

Basic 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: Active Top 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.

EEO Statement

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.