Senior Data Scientist

CACI International Inc

Senior Data Scientist applying advanced analytics and machine learning for the National Geospatial-Intelligence Agency. Leading data science practices and collaborating with mission analysts.

Posted 7/13/2026full-timeDenver • Colorado, Montana, Virginia • 🇺🇸 United StatesSenior💰 $82,100 - $172,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in applying advanced analytics and machine learning to geospatial intelligence, with a strong focus on developing and deploying models and data processing pipelines. Proficient in collaborating with cross-functional teams to translate analytical requirements into actionable software solutions.

Highest-signal resume keywords

Expert Proficiency In PythonMachine Learning Model DevelopmentStrong SQL SkillsData Visualization TechniquesSecurity Clearance (TS/SCI)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAnalyticsMachine LearningData ManipulationModelingAnalysisData Processing PipelinesGeospatial AnalyticsStatistical AnalysisData Cleaning

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

Data Visualization ToolsAgile MethodologiesLarge-Scale Data Platforms

Industry Keywords

Geospatial IntelligenceNGAComplex DatasetsAnalytic CapabilitiesDecision Advantage

Tech Stack

Tools & technologies

PythonSQLTypeScript

About the role

Key responsibilities & impact

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
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

Requirements

What you’ll need

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
Experience with geospatial data (imagery, vector, raster) and geospatial analytics (desired)

Benefits

Comp & perks

healthcare
wellness
financial
retirement
family support
continuing education
time off benefits