Why This Role Stands Out
Leverage your expertise in data science and software engineering within a highly reputable national security firm, where you'll design and prototype innovative ML/AI solutions to streamline critical compliance processes. This hybrid role offers significant growth potential for mid-senior professionals skilled in Python, Java, Scala, and machine learning, allowing you to contribute to mission-critical operations and develop cutting-edge analytics. If you're eager to make a tangible impact and advance your career in a collaborative environment, this opportunity is for you.
Quick Overview
Job Description
Swift is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. We are looking for a Data Science Software Engineer to join a growing team in Annapolis Junction, MD.
The Data Science Software Engineer will design, develop, and prototype analytics solutions and tools that support compliance and business processing functions. This role will focus on creating automated approaches to streamline compliance processes, enhancing existing capabilities, and researching, integrating, and validating Machine Learning (ML) and Artificial Intelligence (AI) solutions within an R&D environment. The engineer will develop analytical models, establish performance metrics, and implement monitoring capabilities to assess and optimize tools, processes, and data workflows.
Required Skills
- Proficiency 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 and Confluence for project tracking and documentation
- 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
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