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 - $290,000Skills Required
- Active TS/SCI w/ Polygraph
- 10+ years 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; substitutions allowed per posting (additional experience or PhD options)
- Strong background in statistical analysis
- Experience developing, tuning, and testing predictive models
- Proficiency creating analytic dashboards, visualizations, and charts
- Experience designing, building, and maintaining ETL pipelines and supporting data engineering operations (data quality, pipeline monitoring)
- Elasticsearch
- Regular expressions (RegEx)
- Machine Learning
- Natural Language Processing (NLP)
- Regression and predictive analytics
- SQL or MongoDB
- Metric databases (Grafana, Graphite, InfluxDB)
CACI International Inc Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CACI International Inc and has not been reviewed or approved by CACI International Inc.
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Healthcare Strength — Pay is supported by a broad set of health-plan options across multiple national carriers, with telemedicine and tax-advantaged accounts included. Dental and vision choices are also described as multi-option, which strengthens overall coverage breadth.
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Leave & Time Off Breadth — Flexible Time Off is available for many salaried-exempt roles, while hourly roles accrue PTO, creating multiple time-off pathways by employment class. Paid disability coverage, fixed holidays, and paid leave programs (including parental leave and other leave types) further round out time-off and leave coverage.
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Retirement Support — Retirement support includes a 401(k) match structure described as 50% up to 8% of pay (effective 4%) and an Employee Stock Purchase Plan with a discount. Tuition reimbursement and certification support also add to the overall rewards package that complements core retirement benefits.
CACI International Inc Insights
What We Do
CACI’s approximately 23,000 talented employees are vigilant in providing the unique expertise and distinctive technology that address our customers’ greatest enterprise and mission challenges. Our culture of good character, innovation, and excellence drives our success and earns us recognition as a Fortune World's Most Admired Company. As a member of the Fortune 1000 Largest Companies, the Russell 1000 Index, and the S&P MidCap 400 Index, we consistently deliver strong shareholder value. Visit us at www.caci.com.






