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# Data Scientist (Foundry Data Analyst)

- **Company:** CACI International Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $75,200 - $158,100
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, Application Integration Architecture, Artificial Neural Networks, Cloud Computing, Data Architecture, Information Engineering, Data Systems, Desktop Computing, Electronic Data Interchange (EDI), R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases, Systems Integration, Scripting, Cloud Platform System, Chatbots, Large Language Models, Palantir Foundry, Information Technology, Data Analytics, Marketplace, Splunk, Data Pipelines, Programming Languages
- **Published:** November 13, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-foundry-data-analyst-washington-dc--b2a5a721-5675-42da-b7cb-c70ed671552f

## About the Role

Data Science, Data Analysis, Willing to Travel, System Integration (SI), Distributed Control Systems (DCS), Data Science, Technical Leadership, Operational Audit, Python Programming/Scripting Language, Ontology, Required:

 * Active Secret clearance with ability to obtain a TS/SCI clearance.
 * Bachelor's Degree in a STEM field (Computer Science, Mathematics, Data Engineering, etc.)
 * Minimum of 5-7 years of experience in data science roles, preferably with military or government projects.
 * Familiarity with Army-specific data tools and platforms.
 * Excellent communication skills to translate technical concepts into actionable strategies for senior leadership decision-making.

Understanding of the Palantir Ontology Manager and knowledge of data architecture and infrastructure required for Army Vantage

Desired:

 * Master's Degree in a STEM field (Computer Science, Mathematics, Data Engineering, etc.)
 * Experience working with cross-functional teams and collaborating across disciplines to enhance technical developments.
 * Understanding of Army security protocols and compliance requirements for handling sensitive data.
 * Familiarity and experience with DOD IL4, IL5, and IL6 cloud environments and data exchange via CDS
 * Certifications in Data Science, Cloud Computing, or related fields.

## Description

The Opportunity CACI is seeking an experienced Data Scientist supporting the Army DCS, G-6, Network Command, Control, Communications, and Computers (C4) Services Integration (NC4SI) Directorate in support of a Task Order - G-6 Network Plans & Enterprise Information Environment Mission Area (EIEMA) Management. NC4SI provides comprehensive planning, analytical, operational, policy, technical and management services at The Pentagon, Washington D.C. and Ft. Belvoir, VA., * Proficiency in data science tools, programming languages and frameworks (Python, R, SQL, Palantir Ontology, Palantir Data Marketplace, etc.).

 * Experience with building and integrating APIs into Army Vantage and other Army or DOD Platforms. Deep understanding in API orchestration and policy considerations within DOD/Army and proven operational implementation track record of deploying APIs and integrating automated data pipelines Army and vendor platforms (AESMP, Army 365, DISA circuit utilization, Netops Tools, Splunk, First Alert).
 * Familiarity with Army data systems and protocols for API integration across Army platforms.

Army Vantage Environment Development:

 * Familiarity with Palantir Foundry applications such as, Workshop, Pipeline Builder and Automate. Ability to leverage the Palantir AIP tools to include AIP Logic Functions, AIP Threads and AIP Chatbot Studio.
 * Understanding of the Palantir Ontology Manager and knowledge of data architecture and infrastructure required for Army Vantage.
 * Development of dynamic visualizations for executive level consumption.

Data Analysis and Modeling:

 * Strong skills in data analysis, statistical modeling, and machine learning (ML) techniques. Familiarity and proven track record of deploying ensemble predictive ML models, neural networks, LLM vectorization and customization.
 * Ability to interpret complex datasets and provide actionable insights for senior leadership decision-making.