Data Science Software Engineer
$120,000–$175,000 year
On-site · Laurel, Maryland, United States
Job Summary
Data Science Software Engineer role at GRVTY requires an active TS/SCI with Poly clearance and extensive SWE experience to develop, enhance, and prototype compliance analytics and ML/AI-driven tools. Responsibilities include automating compliance functions, investigating and testing modernization ML algorithms, building models, and monitoring data flows in a Linux environment. Strong proficiency in Java, Scala, Python, ML frameworks, and related tools (Lucene, JEXL, SQL, JSON, Scikit-learn, Jupyter, Git ecosystems) is required, along with experience in ML model building, feature development for Random Forests, and experience with AWS/Spark preferred. The position emphasizes government/national security programs with a Bachelor’s degree plus extensive experience as a SWE, and offers a salary range of $120k–$175k with a comprehensive benefits package. The role is based in Laurel, Maryland (US).
Required Qualifications
- Active TS/SCI with Poly clearance
- 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
- 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
- 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
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