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# Data Scientist - Security Automation

- **Company:** CACI International Inc.
- **Location:** Linthicum Heights, MD, United States
- **Experience:** Experienced
- **Salary:** $131,800.0 - $290,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Cloud Engineering, Computer Programming, Databases, Information Engineering, Data Files, Extract Transform Load (ETL), Elasticsearch, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, MongoDB, Natural Language Processing, Performance Tuning, Regular Expressions, SAS (Software), Software Engineering, SQL Databases, Grafana, Information Technology, Influxdb, Graphite, Security Orchestration, Automation & Response
- **Published:** October 23, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466564849&tx=KK9393FFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Active TS/SCI w/ Polygraph
 * 10+ years of experience analyzing datasets and developing analytics, plus 10 years of experience programming with data-analysis tools (such as R, Python, SAS, MATLAB).
 * Bachelor's and Master's degree (or higher) in a quantitative discipline such as statistics, mathematics, operations research, engineering, or computer science.
 * An additional 2 years of experience in software development, cloud development, dataset analysis, or analytics development in place of a Master's degree, or
 * A PhD in a quantitative discipline for 4 years of experience.
 * Strong background in statistical analysis.
 * Experience developing, tuning, and testing predictive models.
 * Proficiency in creating analytic dashboards, visualizations, and charts.

Desired:

 * Elasticsearch
 * Regular expressions (RegEx)
 * Machine Learning
 * Natural Language Processing (NLP)
 * Regression and predictive analytics
 * Python, MATLAB, or R
 * SQL or MongoDB
 * Metric databases (Grafana, Graphite, InfluxDB

## Description

* 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.