Data Scientist - Security Automation & RMF Insights

CACI; United States; 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 security automation and cyber resilience. The role involves building an intelligent platform that manages authorizations, tracks compliance, and proactively addresses enterprise risk.

You will work with Python, design ETL pipelines, develop analytics, dashboards, and predictive models, and support RMF‑driven insights in a scalable dataflow environment.

Qualifications

• Active TS/SCI with polygraph required.
• 10+ years analyzing datasets and analytics; 10+ years programming in data-analysis tools.
• Bachelor’s and Master’s in a quantitative discipline; alternatives allowed.
• Strong background in statistical analysis.
• Experience developing, tuning, and testing predictive models.
• Proficiency creating analytic dashboards and visualizations.

Responsibilities

• Develop automated capabilities replacing manual security evaluation and authorization processes.
• Use Python to process, analyze, and validate security data to meet requirements.
• Detect anomalies to assess RMF lifecycle progress.
• Identify system associations for resources based on attributes and info.
• Design, build, and maintain ETL pipelines from multiple sources.
• Transform and prepare data for reporting, analysis, and automated assessments.
• Support data engineering operations including quality checks, monitoring, and delivery of insights.
• Enable scalable dataflows for continuous monitoring and RMF automation.

Skills

Active TS/SCI with Polygraph

Data analytics experience

Programming with data-analysis tools

Statistical analysis

Predictive models

Data visualization & dashboards

Education

Bachelor’s & Master’s in quantitative field

Tools

Elasticsearch

RegEx

Machine Learning

NLP

SQL

MongoDB

Grafana/InfluxDB

Job description

CACI is seeking a Data Scientist to join a mission-critical program focused on security automation and cyber resilience. The role involves building an intelligent platform that manages authorizations, tracks compliance, and proactively addresses enterprise risk.

You will work with Python, design ETL pipelines, develop analytics, dashboards, and predictive models, and support RMF‑driven insights in a scalable dataflow environment.