DATA SCIENTIST LEVEL 3

EOA Technologies LLC • Fort Meade, MD

just now

About The Position

EOA Technologies is seeking a Data Scientist on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project.

Requirements

• Possess an active TS/SCI with Polygraph security clearance
• Ten (10) years analyzing datasets and developing analytics
• Ten (10) years programming in R, Python, SAS, or MATLAB
• Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)

Nice To Haves

• Strong background in statistical analysis
• Experience developing, tuning, and testing predictive models
• Proficiency in creating analytic dashboards, visualizations, and charts.
• Elasticsearch
• RegEx
• Machine learning
• Natural Language Processing
• Regression and predictive analysis
• MATLAB or R
• SQL or Mongodb
• Metric Database (Grafana/Graphite/InfluxDB)

Responsibilities

• Develop and enhance automated capabilities that replace manual security evaluation and authorization processes.
• Use Python to process, analyze, and validate security related data, ensuring systems and resources meet security requirements.
• Detect anomalies and outliers to assess progress through the Risk Management Framework (RMF) lifecycle.
• Identify system associations for resources based on various attributes and known system information.
• Design, build, and maintain ETL pipelines to collect and integrate data from multiple sources (network sensors, security tools, compliance databases).
• Transform and prepare data for reporting, analysis, and automated assessments.
• Support data engineering operations including data quality checks, pipeline monitoring, workflow optimization, and timely delivery of security insights.
• Enable scalable, reliable dataflows that support continuous monitoring and RMF automation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior