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# Data Scientist

- **Company:** Caci Inc
- **Location:** Alexandria, VA, United States
- **Salary:** $86,600.0 - $181,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Data Architecture, Data Discovery, Information Engineering, Data Governance, Data Integration, Data Mining, Machine Learning, Meta-Data Management, Unstructured Data, Information Technology, Data Pipelines, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9190517/data-scientist

## About the Role

* Active Secret Security Clearance.
 * Ability to obtain and maintain access required for supported mission systems.
 * U.S. Citizenship required.
 * Must be onsite, this is NOT a remote position.

Desired Qualifications

 * Master's Degree in Data Science, Statistics, Computer Science, Operations Research, Artificial Intelligence, Engineering, or related field.
 * Experience supporting Department of Defense, Federal Law Enforcement, Intelligence Community, or interagency organizations.
 * Experience with cloud-based analytics environments.
 * Experience applying machine learning techniques to operational datasets.
 * Experience with geospatial, network, graph, or intelligence-related analytics.
 * Familiarity with data architecture, metadata management, and data governance concepts.
 * Microsoft Azure, AWS, Databricks, or equivalent analytics certifications.

## Description

Join a mission-focused team supporting Joint Interagency Task Force (JIATF) 401 by applying advanced data science, statistical analysis, machine learning, and data engineering methodologies to complex national security challenges.

As a Data Scientist, you will develop analytical models, identify meaningful patterns across disparate datasets, and transform structured and unstructured information into actionable decision-support products. Working alongside operational, intelligence, and technical stakeholders, you will leverage cutting-edge analytical tools and cloud-based technologies to support mission planning, operational assessments, and strategic decision-making.

The successful candidate will serve as a technical expert capable of independently researching, designing, and implementing analytical solutions requiring creativity, professional judgment, and advanced quantitative skills.

What you get to do:

 * Design, develop, and maintain advanced analytical and statistical models to support operational and intelligence mission requirements.
 * Perform exploratory data analysis and data discovery across structured, semi-structured, and unstructured datasets.
 * Develop predictive, descriptive, and prescriptive analytical solutions using modern data science methodologies.
 * Engineer and automate data processing workflows supporting data integration, transformation, validation, and analysis activities.
 * Develop algorithms and data models that identify trends, anomalies, relationships, and operational indicators.
 * Integrate data from multiple authoritative data sources to create comprehensive analytical products.
 * Design and develop interactive dashboards, visualizations, and executive-level reporting products.
 * Conduct quantitative analysis utilizing statistical methods, machine learning techniques, and data mining approaches.
 * Support development of enterprise data architectures and data governance initiatives.
 * Evaluate emerging technologies, analytical techniques, and data science capabilities to improve organizational effectiveness.
 * Collaborate with Government stakeholders to define analytical requirements and translate mission objectives into technical solutions.
 * Document analytical methodologies, assumptions, findings, and recommendations in technical reports and executive briefings.
 * Present analytical findings to both technical and non-technical audiences.
 * Support cloud-based analytical environments including Microsoft Azure Government and other approved platforms when required.
 * Apply data science best practices to improve data quality, integrity, and usability across mission systems.