Data Scientist - Security Automation

The Opportunity

CACI is seeking a Data Scientist to join a mission‑driven team advancing the Secure the Enterprise initiative. In this role, you will help transform a traditionally manual system‑security evaluation process into an automated, efficient, and intelligence‑driven model. Your work will directly support continuous monitoring, rapid decision‑making, and strengthened security across the full lifecycle of critical systems and projects.

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: