LCAT SWE-3 (Data Science Software Engineer)
Role details
Job location
Tech stack
Job 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.
Requirements
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, 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.