Job Description
CACI is seeking a skilled and motivated Sr. Data Scientist to join our dynamic Data & Analytics team. The ideal candidate will have a strong background in statistics, machine learning, and data mining, with the ability to visualize and communicate complex data clearly and effectively.

Responsibilities

• Work with cross-functional teams to identify, research, and solve complex analytical problems
• Analyze large data sets to extract meaningful insights
• Design, build, and maintain machine learning models and algorithms
• Collaborate with data engineers to improve data collection and storage processes
• Present findings and recommendations to stakeholders in a clear and actionable manner
• Support broad Data Management requirements, including: Data Strategy, Modeling, and Documentation Data Feed Identification Infrastructure Management Data Ingestion and Feed Automation Data Transformation Data Catalog and Metadata Management Data Quality Management Data Governance
• Evaluate and integrate emerging AI/ML tools and frameworks to enhance analytic capabilities and operational efficiency

Required Qualifications

• Active TS/SCI Clearance with CI Polygraph
• Minimum of 7 years overall experience and 5+ years of related experience as a Data Scientist, Data Analyst, or similar role
• Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field
• Proficiency with data visualization tools such as Tableau and Power BI, including data connection, manipulation, and visualization
• Hands-on experience with LLMs and generative AI frameworks
• Knowledge of statistical analysis methodologies and data visualization practices
• Excellent problem‑solving skills and attention to detail
• Strong communication and collaboration skills
• Ability to work independently and manage multiple projects simultaneously

Desired Qualifications

• Tableau Certified Professional (Preferred)
• Current Security+ or DoD 8570 IAT Level II Certification
• Experience with scripting in Tableau (automation, troubleshooting, integration, performance optimization)
• Proficiency in Python, R, SQL, and other relevant programming languages
• Experience with machine learning, predictive modeling, and data mining
• Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes)

• Experience with cloud computing platforms and services, particularly in government/classified environments (e.g., AWS GovCloud, Azure Government, C2S)

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: