CTS Corporation

Senior Data Scientist - GEOINT | TS/SCI

Posted 2 Days Ago

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Springfield, VA, USA

In-Office

Senior level

Hardware

The Role

Supports NGA’s Maven program by acquiring, curating, transforming, cleaning, analyzing, and visualizing complex geospatial and other datasets for AI/ML model development. Uses Python and quantitative methods to identify patterns, investigate inconsistencies, preserve data integrity, and communicate analytical findings, assumptions, limitations, and conclusions. The role requires active TS/SCI clearance and substantial relevant experience.

Summary Generated by Built In

Advance NGA’s Mission Through Data Science
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.
Requirements:

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

Apply now or send your resume directly to Antoine Thomas: [email protected]
Why XTS?
At XTS, we’re not just looking for employees. We’re looking for individuals who are passionate about mission success and personal growth. As a veteran-owned company, we understand the value of service and the importance of fostering a supportive, collaborative community. We are committed to investing in our people and providing the tools and support necessary to grow, creating a culture where every individual can succeed and thrive!
We offer a comprehensive benefits package, including:

Customizable healthcare plans, dental and vision coverage
Paid time off (PTO), 11 federal holidays, and a matching 401(k) plan
Short- and long-term disability, life insurance, cancer insurance, and pet insurance
Ongoing training and career advancement opportunities

Skills Required

Active Top Secret / Sensitive Compartmented Information (TS/SCI) clearance
Associate degree and at least 8 years of relevant experience
Bachelor's degree and at least 7 years of relevant experience
Master's degree and at least 5 years of relevant experience
At least 10 years of relevant experience in lieu of a degree
Experience with AI/ML technologies and data systems supporting model development
Experience working with geospatial formats, JSON, XML, and other file types
Experience conducting quantitative analysis, developing visualizations, and processing complex datasets
Proficiency in Python and other programming languages for data cleaning and manipulation
Strong analytical and communication skills
Experience developing NLP algorithms for document information extraction
Familiarity with NGA analytic modernization efforts, SOM, computer vision, automated collection, or automated reporting
Experience applying data standardization best practices
Strong foundation in mathematics, statistics, and quantitative analysis
Experience with classification, regression, clustering, data reduction, or causal modeling

CTS Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CTS Corporation and has not been reviewed or approved by CTS Corporation.

Retirement Support — The 401(k) program is highlighted as a clear strength, with a non‑elective employer contribution documented in recent company disclosures. This structure is positioned as stronger than many common match formulas and is repeatedly emphasized as a notable differentiator.
Leave & Time Off Breadth — Standard PTO, paid holidays, and basic leave options are provided across most facilities. Availability is broadly consistent, though day‑to‑day flexibility can vary by site and production demands.
Wellbeing & Lifestyle Benefits — Offerings such as an Employee Assistance Program, tuition assistance, and wellness or gym initiatives are described alongside core insurance coverage. This breadth signals investment in employee well‑being beyond medical-only benefits.