Data Scientist SME – Enterprise Mission Automation (Process Disruption)
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Before you apply
Salary$154k – $278k
LocationFort Meade, MD
Work modeon-site
Typefull-time
SeniorityLead
Experience15+ yrs
Company size10,000+ people
PostedJul 16, 2026 · 3mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Production-level scaling of autonomous workflows using LangGraph, CrewAI, or AutoGPT
Applying data science methodologies, statistical modeling, and machine learning to optimize enterprise queries, data curation, and ingestion pipelines
Engineering and finalizing complex playbooks within automation platforms (SOAR tools, low-code/no-code enterprise suites)
Mastery of Ansible, SaltStack, and GitLab CI/CD for mission-critical enterprise pipeline deployment
Professional-grade mastery of Python, Go, and PowerShell for rapid prototype development of business tools
Engineering custom API integrations for unified mission-support systems, including TACMS and Maven Smart System
15+ years in Data Science, Advanced Analytics, Enterprise Architecture, or Technical Operations
5–7 years focused on workflow automation, business process re-engineering (BPR), DevSecOps, or Hands on Keyboard (HOK) optimization within the DoD or Intelligence Community (IC)
3+ years mentoring senior technologists, conducting code reviews, and driving cultural change toward automation
Bachelor’s degree in Data Science, Computer Science, or Software Engineering
Documented technical leadership in enterprise modernization, data governance, or automated operations within a cyber/technical framework
TS/SCI with Polygraph
Master’s or PhD in AI, Machine Learning, or Computational Engineering
Certified Kubernetes Administrator (CKA)
AWS DevOps Engineer – Professional
HashiCorp Certified: Terraform Associate
Skills
LangGraph
CrewAI
AutoGPT
Ansible
SaltStack
GitLab CI/CD
Python
Go
PowerShell
TACMS
Maven Smart System
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.
Core Technical Requirements
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AI & Agentic Frameworks: Production-level scaling of autonomous workflows using LangGraph, CrewAI, or AutoGPT to replace manual decision trees and administrative bottlenecks.
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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, SaltStack, and GitLab CI/CD for mission-critical enterprise pipeline deployment.
•
Scripting & Development: Professional-grade mastery of Python, Go, and PowerShell for rapid prototype development of business tools.
•
Mission Orchestration: Engineering custom API integrations for unified mission-support systems, including TACMS and Maven Smart System.
Experience & Leadership
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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), DevSecOps, 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 & Certifications
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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.
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Preferred Certifications: Certified Kubernetes Administrator (CKA), AWS DevOps Engineer – Professional, or HashiCorp Certified: Terraform Associate.
•
Military Equivalency: Documented technical leadership in enterprise modernization, data governance, or automated operations within a cyber/technical framework.
Clearance & Location
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Clearance: TS/SCI with Polygraph required.
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Location: Fort Meade, MD (100% On-site / SCIF).
About the company
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 already at step 30 — and moving faster than anyone else dares.
Original Posting:
July 16, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $154,050.00 - $278,475.00
The 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.