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Senior Data Science Engineer
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ClearanceJobs.com
Laurel, MD (In Person)
$200,000 Salary, Full-Time
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Job Description
Senior Data Science Engineer
We are seeking a highly experienced Senior Data Science Engineer to support thedevelopment of advanced compliance analytics, automation tools, and machine learningsolutions within a mission-focused environment. This role will be responsible fordesigning, prototyping, implementing, and monitoring AI/ML-driven capabilities thatenhance compliance processes, improve operational efficiency, and supportmodernization initiatives.
Clearance Required :
Active TS/SCI with PolygraphKey Responsibilities- Develop, enhance, and maintain compliance analytics and business processautomation tools.
- Research, evaluate, and prototype machine learning and AI solutions to supportcompliance modernization efforts.
- Build, deploy, and monitor machine learning models, including Random Forestmodels and feature engineering pipelines.
- Develop performance metrics, monitoring capabilities, and data flow solutions toensure operational effectiveness.
- Conduct exploratory data analysis (EDA) and identify opportunities for processimprovement.
- Collaborate with cross-functional teams to integrate AI/ML solutions intoproduction environments.
- Create and maintain technical documentation, design artifacts, andimplementation guides.
- Ensure adnce to agency standards, policies, and compliance requirements. Required Qualifications
- 12+ years of Software Engineering experience supporting programs of similar scope, type, and complexity.
- Bachelor's degree in Computer Science or related field (4 additional years of relevant experience may substitute for a degree).
- Strong experience with Java, Scala, and Python.
- Experience with Lucene, JEXL, SQL, JSON, and Linux development environments.
- Hands-on experience building, deploying, and monitoring machine learning models.
- Experience with Random Forest algorithms and feature engineering.
- Proficiency with Scikit-learn, Jupyter Notebooks, Ghostmachine (Map/Reduce), and GM Learn.
- Experience using Git/GitLab, Bitbucket/Stash, IntelliJ/Eclipse, Jira, and Confluence. ?,
- Strong documentation, communication, and technical review skills.
- Knowledge of agency compliance standards and corporate systems. Desired Qualifications
- Data Science background or advanced analytics experience.
- Experience with AWS cloud technologies and Apache Spark.
- Experience implementing production ML systems.
- Knowledge of Agentic AI, Large Language Models (LLMs), and emerging AI technologies.
- Experience with advanced machine learning techniques and model development.