Data Scientist SME Automation Specialist

Leidos • Odenton, MD

17h

About The Position

We are seeking a Data Scientist Mission Automation SME to serve as an "Eminent Expert" in adversary disruption. Your goal is to transform manual processes into automated mission sets through rapid-prototype development. As a Technical Closer, you will guide and mentor a senior technologist to optimize queries and build the mission-critical pipelines that allow the command to operate at "wire speed."

Requirements

• Mastery of Ansible, SaltStack, and GitLab CI/CD for mission-critical pipeline automation.
• Technical closing of complex playbooks within Splunk Phantom or Cortex XSOAR to automate adversary disruption.
• Scaling network defense using LangGraph, CrewAI, or AutoGPT.
• Professional-grade mastery of Python, Go, and PowerShell for rapid automation development.
• Ability to build custom API integrations for unified mission systems like TACMS, or Maven Smart System.
• 12–15+ years in IT/Cybersecurity or Data Science.
• At least 5–7 years specifically in automation, DevSecOps, or "Hands on Keyboard" (HOK) operations within the Intelligence Community (IC) or Department of Defense (DoD).
• 3+ years of technical mentorship or "Team Lead" experience.
• A Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related technical field.
• TS/SCI with CI Poly required.

Nice To Haves

• Certified Kubernetes Administrator (CKA), AWS DevOps Engineer – Professional, or HashiCorp Certified: Terraform Associate.
• Documented CMF Work Role Certification (Interactive Operator or Host Analyst) or 170A/17A technical leadership in OCO/DCO operations.
• A Master’s degree or PhD in a quantitative field (AI, Machine Learning, or Computational Engineering).

Responsibilities

• Transform manual processes into automated mission sets through rapid-prototype development.
• Optimize queries and build mission-critical pipelines.
• Guide and mentor a senior technologist.

Benefits

• Leidos pay range for this job level is a general guideline only and 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.

What This Job Offers

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