Senior Data Scientist

CACI International Inc; Denver (CO); On-site; USD 82,100 - 172,400; Full time

Job summary

CACI International Inc. is seeking a Senior Data Scientist to apply advanced analytics and machine learning to NGA mission problems.

You will work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage and collaborating with analysts to shape capabilities from concept to deployment. You will lead data science practices in a multi-team Agile environment, mentor mid-level scientists, and contribute to the ongoing evolution of

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• 8+ years of data science, analytics, or related engineering experience.
• Expert proficiency in Python (or R) for data manipulation, modeling, and analysis.

Responsibilities

• Design, develop, and deploy analytic models and ML solutions for large datasets.
• Build and automate data processing pipelines for collection, cleaning, transformation, and enrichment.
• Develop visualizations and analytic products to communicate findings to technical and non-technical audiences.
• Collaborate with mission analysts to translate requirements into deployed software capabilities.
• Integrate analytic capabilities with program systems and services in coordination with development teams.
• Evaluate model performance, drive iterative improvement, and document methodologies.
• Mentor mid-level data scientists and promote analytic best practices across the program.

Skills

Python

SQL

Data viz

ML deployment

Security clearance

Education

Bachelor's degree in relevant field

Job description

Job Title: Senior Data Scientist

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

Anticipated Posting End: 9/1/2026

Opportunity

• Apply advanced analytics and machine learning to mission problems for the National Geospatial-Intelligence Agency (NGA).
• Work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage.
• Collaborate directly with analysts and mission users to shape analytic capabilities from concept to deployment.
• Lead data science practices within a multi-team Agile delivery environment.

Responsibilities

• Design, develop, and deploy analytic models and machine learning solutions against large-scale structured and unstructured datasets.
• Build and automate data processing pipelines for collection, cleaning, transformation, and enrichment.
• Develop visualizations and analytic products that communicate complex findings to technical and non-technical audiences.
• Collaborate with mission analysts to translate analytical requirements into deployed software capabilities.
• Integrate analytic capabilities with program systems and services in coordination with development teams.
• Evaluate model performance, drive iterative improvement, and document methodologies.
• Mentor mid-level data scientists and promote analytic best practices across the program.

Qualifications

Required:

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (equivalent experience accepted).
• 8+ years of data science, analytics, or related engineering experience.
• Expert proficiency in Python (or R) for data manipulation, modeling, and analysis.
• Experience developing and deploying machine learning models into production environments.
• Strong SQL skills and experience with large-scale data platforms.
• Demonstrated experience with data visualization tools and techniques.
• Security Clearance (TS/SCI) with willingness to undergo polygraph examination.

Desired

• Experience with geospatial data (imagery, vector, raster) and geospatial analytics.
• Familiarity with cloud-based ML services and containerized model deployment.
• Experience supporting NGA analysts or Intelligence Community mission workflows.

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.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The Proposed Salary Range For This Position Is

$82,100-$172,400

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.