Senior Data Scientist: Security Automation & RMF Analytics

CACI; Linthicum (MD); On-site; USD 131,800 - 290,000; Full time

Job summary

CACI is seeking a Data Scientist to join our mission-critical program to build an intelligent cyber resilience platform that manages security authorizations, tracks compliance, and proactively addresses enterprise risk.

The role emphasizes automated capabilities, Python-driven data processing, anomaly detection, and ETL pipelines from diverse sources to support RMF and ongoing security assessments. A TS/SCI with Polygraph is required along with advanced analytics experience.

Qualifications

• 10+ years of experience analyzing datasets and developing analytics.
• 10+ years of programming experience in data-analysis tools (R, Python, SAS, MATLAB).
• Bachelor’s and Master’s degree in a quantitative discipline such as statistics, mathematics, OR engineering or CS.
• An additional 2 years of experience in software development, cloud development, dataset analysis, or analytics development in place of a Master’s degree.
• A PhD in a quantitative discipline for 4 years of experience.

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.
• 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

Python

R

SAS

MATLAB

Statistical analysis

Predictive modeling

Data visualization

SQL

MongoDB

Education

Bachelor’s and Master’s degree in quantitative discipline

PhD in quantitative discipline

Job description

CACI is seeking a Data Scientist to join our mission-critical program to build an intelligent cyber resilience platform that manages security authorizations, tracks compliance, and proactively addresses enterprise risk.

The role emphasizes automated capabilities, Python-driven data processing, anomaly detection, and ETL pipelines from diverse sources to support RMF and ongoing security assessments. A TS/SCI with Polygraph is required along with advanced analytics experience.