Gem

Data Science Software Engineer

Gem$49K — $290K *
Technical Services
15+ years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of software engineering experience with Java, Scala, and Python
  • Proficiency in Lucene, JEXL, SQL, and JSON formats
  • Hands-on experience with Random Forest and feature development
  • Solid background in Machine Learning model building and performance monitoring
  • Familiarity with Linux operating systems and development environments
  • Knowledge of Git/Gitlab, Jira, and Confluence for project collaboration
  • Active US security clearance and US citizenship required

Responsibilities

  • Develop and enhance analytics tools for compliance and business processing
  • Automate compliance functions using innovative methods and technologies
  • Research and integrate Machine Learning algorithms for compliance modernization
  • Prototype proof-of-concept solutions within the RD environment
  • Implement metrics and monitoring to ensure optimal tool performance
  • Collaborate with teams to document and review software processes
  • Engage in exploratory data analysis to inform decision-making

Benefits

  • Comprehensive healthcare benefits
  • Wellness programs and financial planning resources
  • Retirement plans and education assistance
  • Generous time-off policies and work-life balance initiatives
Full Job Description
We are looking for a Data Science Software Engineer to join a growing team in Annapolis Junction, MD.

The Data Science Software Engineer will 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.

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


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


Requirements:

  • 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.
  • US citizenship and an active security clearance required


Pay Range: $49,996.80 - $290,004.00

Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, work experience, education, certifications, Federal Government contract labor categories, and contract wage rates.

At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.

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