CTS Corporation

Senior Data Scientist - Intelligence Support (TS/SCI)

Posted 2 Days Ago

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Springfield, VA, USA

In-Office

110K-118K Annually

Senior level

Hardware

The Role

Support NGA’s Maven program by preparing imagery and other complex datasets for model development. Clean, transform, standardize, analyze, and visualize geospatial, JSON, XML, and other data using Python and quantitative methods. Investigate inconsistencies, preserve relevant information across transformations, evaluate assumptions, and communicate findings and limitations. The role also applies AI/ML knowledge, statistical techniques, and potentially NLP, computer vision, classification, regression, clustering, and causal modeling.

Summary Generated by Built In

You’ve spent enough time working with data to know that a result can look right and still deserve a closer look. You trace it back, examine the assumptions, and work through the details until you understand what the evidence supports. The value you bring is in that judgement, and in helping others understand what you’ve found.
This is an exciting chance to join us as a Senior Data Scientist to support the National Geospatial-Intelligence Agency’s (NGA) Maven program, supporting imagery acquisition, imagery curation, and data transformation within its model development process. Your work will help shape the data that models learn from. Before imagery can serve that purpose, it needs to be understood and prepared. Information from different sources must be brought together, inconsistencies investigated, and understanding of what could be lost or changed along the way. You’ll help make those decisions. Through programming, quantitative analysis, and visualization, you’ll turn complex information into usable data and findings that team can build on. In this role, you’ll bring together data science, software development, and analytic judgement to work through complex datasets. You’ll move across geospatial formats, JSON, XML, and other file types, using Python and quantitative methods to clean, transform, analyze, and interpret information. Your work will help establish the data foundation that model development depends on. Your contribution will help the team move forward with a clearer understanding of its data and the limitations that need attention!
Requirements

Current active Top Secret / SCI clearance.
You have one of the following education and relevant experience combinations:

Associate degree + 8 years
Bachelor’s degree + 7 years
Master’s degree + 5 years
10 or more years of relevant experience

You have experience working with AI/ML technologies and data systems to be able to connect your preparation and analysis decisions to the model development process.
You have experience with multiple file types, including geospatial formats, JSON, and XML to interpret different structures and transform them while preserving the information needed for their intended use.
Experience conducting quantitative analysis, developing visualizations, and processing complex data into insights in order to help the team recognize patterns, investigate concerns, and make informed decisions. Being able to explain how you reached a conclusion matters as much as identifying it.
Development experience in Python and other programming languages for data cleaning and manipulation to build repeatable processes, address inconsistencies, and make complex datasets more usable as needs evolve.

Nice to Have

Natural language processing algorithms to extract data from documents to make information within unstructured text available for analysis.
Experience with NGA’s analytic modernization efforts, experience with SOM, computer vision, automated collection, or automated reporting to help connect your work to analytic workflows it supports.
Experience with data standardization is the best practice to bring consistency to information from different sources so it can be interpreted, combined, and reused.
Expertise in mathematics, statistics, and quantitative analysis to evaluate assumptions, assess uncertainty, and determine what the evidence supports.
Experience with classification, regression, clustering, data reduction, and causal modeling to draw on different techniques to choose an approach suited to the problem and understand its limitations.

If you’re ready to bring your experience to work that helps shape what comes next for NGA’s Maven program, send your resume directly to Lanchi Lai, ([email protected]).
At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.
Salary Range: 110K-118K/annually

Skills Required

Current active Top Secret / SCI clearance
Associate degree plus 8 years of relevant experience
Bachelor's degree plus 7 years of relevant experience
Master's degree plus 5 years of relevant experience
10 or more years of relevant experience
Experience with AI/ML technologies and data systems
Experience working with geospatial formats, JSON, XML, and other file types
Experience conducting quantitative analysis, developing visualizations, and processing complex data into insights
Python and other programming experience for data cleaning and manipulation
Experience with natural language processing algorithms
Experience with NGA analytic modernization efforts, SOM, computer vision, automated collection, or automated reporting
Experience with data standardization
Expertise in mathematics, statistics, and quantitative analysis
Experience with classification, regression, clustering, data reduction, and 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.