Data Scientist SME – Enterprise Mission Automation; Process Disruption

Mission Overview

The Leidos Intel Sector is seeking an Eminent Expert Data Scientist and Mission Automation SME to disrupt ordinary ways of doing business across the command. Your core mission is to eliminate corporate and operational latency. You will challenge legacy workflows, transforming manual processes that take hours or days into optimized, automated pipelines executing in minutes. As a Technical Transformation Leader
, you will architect rapid‑prototype solutions, deploy cutting‑edge AI, and mentor senior technologists to achieve business and mission operations at wire speed.

• AI & Agentic Frameworks:
  Production‑level scaling of autonomous workflows using Lang Graph, CrewAI, or AutoGPT to replace manual decision trees and administrative bottlenecks.
• Workflow Algorithmic Automation:
  Applying data science methodologies, statistical modeling, and machine learning to optimize enterprise queries, data curation, and ingestion pipelines.
• Orchestration & Business Logic:
  Engineering and finalizing complex playbooks within automation platforms (SOAR tools, low‑code/no‑code enterprise suites) to disrupt manual business processing.
• Automation Tooling:
  Mastery of Ansible, Salt Stack, and Git Lab CI/CD for mission‑critical enterprise pipeline deployment.
• Scripting & Development:
  Professional‑grade mastery of Python, Go, and Power Shell for rapid prototype development of business tools.
• Mission Orchestration:
  Engineering custom API integrations for unified mission‑support systems, including TACMS and Maven Smart System.

• Total
  
  Experience:
  
  15+ years in Data Science, Advanced Analytics, Enterprise Architecture, or Technical Operations.
• Specialized
  
  Experience:
  
  5–7 years focused on workflow automation, business process re‑engineering (BPR), Dev Sec Ops , or "Hands on Keyboard" (HOK) optimization within the DoD or Intelligence Community (IC).
• Technical Leadership: 3+ years mentoring senior technologists, conducting code reviews, and driving cultural change toward automation.

• Education:
  
  Bachelor’s degree in Data Science, Computer Science, or Software Engineering. Master’s or PhD in AI, Machine Learning, or Computational Engineering highly preferred to match algorithmic optimization needs.
• Preferred
  
  Certifications:
  
  Certified Kubernetes Administrator (CKA), AWS Dev Ops Engineer – Professional, or Hashi Corp Certified:
  Terraform Associate.
• Military Equivalency:
  Documented technical leadership in enterprise modernization, data governance, or automated operations within a cyber/technical framework.

• Clearance: TS/SCI with Polygraph required.
• Location:
  
  Fort Meade, MD (100% On‑site / SCIF).

$ - $

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.