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LCAT SWE-3 (Data Science Software Engineer) with Security Clearance
CCS Global TechLaurel, MD🇺🇸United StatesPosted 13 Jul 2026
Quick Overview
Salary
$190k - $210k/yr
Work Type
Hybrid
Level
Mid Senior
Job Description
Role: LCAT SWE-3 (Data Science Software Engineer) Work Location: Emerson 3, Laurel Maryland. Salary - $190,000 - $210,000 Clearance -TS/SCI FSP Description: Contractor shall develop, enhance, and prototype compliance and business processing analytics and tools. Develop new methods for automating compliance functions and improve existing methods. Contractor will investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment. Contractor will develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows. Task Order Required Skills: • Experience with Java, Scala, and Python • Experience with Lucene, JEXL, SQL, JSON • Random Forest and ability to do feature development for Random Forest • Experience with Machine Learning Model building and monitoring • Experience developing in a Linux operating environment • Experience with Ghostmachine (Map/Reduce) • Experience with GM Learn • Experience with Jupyter Notebooks • Experience with IntelliJ and/or Eclipse • Experience with Git/Gitlab and/or Stash/Bitbucket • Experience with Jira • Experience with Confluence • Experience with Scikit-learn • Agency Compliance standards, policies, and authorities • Experience with Agency corporate systems • Experience with documentation and reviewing documentation Task Order Desired Skills: • Data Science skills/background • Experience with AWS • Experience implementing ML systems • Experience with Spark • Exploratory Data Analysis (EDA) • Agentic AI • Large Language Models (LLM) • Machine Learning Feature Development • Other Machine Learning models and techniques SWE-3 LCAT Qualifications: Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Skills
SQL
Scala
AWS
Machine Learning
Scikit-learn
Confluence
Git
Java
Jira
Jupyter
LLM
Python
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