Data Scientist - Security Automation

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

Job Title: Data Scientist - Security Automation

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: None

Type of Travel: None

The Opportunity

CACI has an immediate need for a Data Scientist to join our mission‑critical program. You'll help build an intelligent cyber resilience platform that manages system security authorizations, tracks compliance, and proactively addresses enterprise risk.

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.

Qualifications:

Required:

• 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

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high‑performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$131,800 - $290,000

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.