Security Automation Data Scientist – RMF Analytics

CACI; Linthicum (MD); On-site; USD 132,000 - 290,000; Full time

Job summary

CACI is seeking a Data Scientist to join a mission-critical program focused on building an intelligent cyber resilience platform. Responsibilities include developing automated security evaluation processes, leveraging Python for data analysis, and building ETL pipelines to support RMF automation.

The role requires extensive experience with data analytics, statistical methods, and predictive modeling, with a strong emphasis on dashboards and visualization for security insights.

Qualifications

• Active TS/SCI with Polygraph
• 10+ years of experience analyzing datasets and developing analytics; 10+ years programming with data‑analysis tools (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
• Strong background in statistical analysis
• Experience developing, tuning, and testing predictive models
• Proficiency in creating analytic dashboards, visualizations, and charts

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 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

Skills

Statistical analysis

Predictive analytics

Data analysis

Dashboarding

Education

Bachelor’s and Master’s degree in quantitative discipline

PhD in quantitative discipline

Additional experience in place of Master’s degree

Tools

Python

R

SAS

MATLAB

SQL

MongoDB

Elasticsearch

RegEx

Machine Learning

NLP

Grafana

Graphite

InfluxDB

Job description

CACI is seeking a Data Scientist to join a mission-critical program focused on building an intelligent cyber resilience platform. Responsibilities include developing automated security evaluation processes, leveraging Python for data analysis, and building ETL pipelines to support RMF automation.

The role requires extensive experience with data analytics, statistical methods, and predictive modeling, with a strong emphasis on dashboards and visualization for security insights.