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# Data Scientist

- **Company:** CACI International Inc.
- **Location:** St. Louis, MO, United States
- **Experience:** Expert
- **Salary:** $82,100.0 - $172,400.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Geographic Information Systems, Agile Methodology, Data Analysis, Big Data, Cloud Computing, Data Files, Data Visualization, Database Queries, Geospatial Intelligence, R (Programming Language), Python (Programming Language), Machine Learning, Azure Machine Learning, Requirements Management, Software Systems, Spatial Data Infrastructures, SQL Databases, Data Processing, Scripting, Information Technology, Data Management, Data Pipelines, Raster Graphics
- **Published:** August 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-saint-louis-mo--4bf16c6c-9fc6-4e7f-b23c-f936584eebfd

## About the Role

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., Agile Programming Methodologies, Analysis Skills, Best Practices, Cloud Computing, Computer Science, Data Analysis, Data Management, Data Modeling, Data Processing, Data Science, Data Sets, Data Visualization Tools, Engineering, Federal Contracts, Federal Government, Geospatial Analysis, Geospatial Intelligence (GEOINT), Government Contracts, Intelligence Agencies, Intelligence Community, Machine Learning, Mathematics, Mentoring, Performance Modeling, Process Improvement, Production Systems, Python Programming/Scripting Language, R Programming Language, Requirements Management, SQL (Structured Query Language), Safety/Work Safety, Security Clearance, Sensitive Compartmented Information (SCI), Spatial Data, Statistics, Top Secret Clearance, Training Data Sets, Willing to Travel

## Description

* 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.


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