SWE3 - Data Science

Power3 SolutionsLaurel, MD

About The Position

We are looking for an experienced Software Engineer to join their rapidly growing team! 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
  • An active TS/SCI with polygraph is required.
  • BS + 20 years experience

Nice To Haves

  • 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

Responsibilities

  • Develop, enhance, and prototype compliance and business processing analytics and tools.
  • Develop new methods for automating compliance functions and improve existing methods.
  • Investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment.
  • Develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.

Benefits

  • 100% company-paid health , dental , and vision premiums
  • Automatic company contributed Health Savings Account (HSA) up to $3,900 for families
  • Up to 7 weeks of Paid Time Off (PTO)
  • Automatic 401k Investment
  • Paid 11 Federal Holidays
  • BlueCross BlueShield Health Insurance
  • Tuition/Training Reimbursement
  • Access to Ravens season tickets in club level
  • Company-paid golf events for your time and course fees
  • Health Insurance
  • Dental and Vision Coverage
  • Health Savings Account (HSA)
  • Paid Time Off
  • Holiday Pay
  • Short Term and Long Term Disability
  • Life Insurance
  • 401(k) Plan
  • Safe Harbor 401k Investment
  • Learning and Development opportunities
  • Referral Bonuses
  • Flex Time
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