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# Senior Data Scientist - GEOINT | TS/SCI

- **Company:** Xcellent Technology
- **Location:** Springfield, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Data Cleansing, Data Governance, Data Transformation, Data Reduction, Data Structures, Data Systems, Geospatial Intelligence, JSON, Python (Programming Language), Machine Learning, Apache Maven, Natural Language Processing, Extensible Markup Language (XML), Data Inconsistencies, Programming Languages
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7282fb8fa104d4b5

## About the Role

* Active Top Secret / Sensitive Compartmented Information (TS/SCI) clearance
 * One of the following education and relevant experience combinations:
 + Associate degree with at least 8 years of relevant experience
 + Bachelor's degree with at least 7 years of relevant experience
 + Master's degree with at least 5 years of relevant experience
 + At least 10 years of relevant experience in lieu of a degree
 * Experience working with AI/ML technologies and data systems, with an understanding of how data preparation and analysis support model development
 * Experience working with multiple file types, including geospatial formats, JSON, and XML, to interpret data structures and transform information while preserving what is needed for its intended use
 * Experience conducting quantitative analysis, developing visualizations, and processing complex datasets to identify patterns, investigate issues, and support informed decisions
 * Proficiency in Python and other programming languages for data cleaning and manipulation, including developing repeatable processes and addressing data inconsistencies
 * Strong analytical and communication skills, with the ability to explain technical findings, assumptions, and conclusions clearly

Nice to Have:

 * Experience developing natural language processing (NLP) algorithms to extract information from documents and make unstructured text available for analysis
 * Familiarity with NGA analytic modernization efforts, including SOM, computer vision, automated collection, or automated reporting
 * Experience applying data standardization best practices to improve consistency and enable data to be interpreted, combined, and reused
 * Strong foundation in mathematics, statistics, and quantitative analysis to evaluate assumptions, assess uncertainty, and interpret evidence
 * Experience with classification, regression, clustering, data reduction, or causal modeling, including selecting appropriate analytical techniques and understanding their limitations

## Description

Here is your chance to join XTS as a Senior Data Scientist in support of the National Geospatial-Intelligence Agency (NGA), where you will help advance the Maven program through imagery acquisition, imagery curation, and data transformation in support of model development.

In this role, you will work with complex datasets to prepare and transform information that supports artificial intelligence and machine learning (AI/ML) model development. You will work across geospatial formats, JavaScript Object Notation (JSON), Extensible Markup Language (XML), and other file types, using Python and quantitative methods to clean, analyze, and interpret data. Through quantitative analysis and visualization, you will help identify patterns, investigate inconsistencies, and turn complex information into useful findings. Your work will help establish a reliable data foundation for model development while accounting for the assumptions, limitations, and potential changes that can affect how information is used.

If you are passionate about data science, solving complex analytical problems, and supporting mission-critical intelligence capabilities, XTS invites you to bring your experience to support NGA's mission.