Data Scientist SME - Enterprise Mission Automation (Process Disr

Leidos, Inc.

Fort Meade, MD, United States

about 2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$154,050.0 - $278,475.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Artificial Intelligence Amazon Web Services Code Review Data Governance Python (Programming Language) Machine Learning Automation of Marketing Apache Maven Windows PowerShell Rapid Prototyping Process Ansible Software Engineering

+12 more

Data Ingestion Delivery Pipeline Saltstack Gitlab-ci Kubernetes Information Technology Hashicorp Low-code Terraform Devsecops Api Management Golang

Job description

The Leidos Intel Sector is seeking an 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 , you will architect rapid-prototype solutions, deploy cutting-edge AI, and mentor senior technologists to achieve business and mission operations at wire speed.

: Production-level scaling of autonomous workflows using LangGraph, CrewAI, or AutoGPT to replace manual decision trees and administrative bottlenecks.
: 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) to disrupt manual business processing.
: 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.

Requirements

: 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. Master’s or PhD in AI, Machine Learning, or Computational Engineering highly preferred to match algorithmic optimization needs.
: Certified Kubernetes Administrator (CKA), AWS DevOps Engineer - Professional, or HashiCorp Certified: Terraform Associate.
: Documented technical leadership in enterprise modernization, data governance, or automated operations within a cyber/technical framework.