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Spatial Data Scientist (TS/SCI)
Spatial Data Scientist (TS/SCI)Xcellent Technology Solutions • Arnold, MO, United States
Spatial Data Scientist (TS / SCI)

Spatial Data Scientist (TS / SCI)

Xcellent Technology Solutions • Arnold, MO, United States
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  • [job_card.full_time]
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A role where you’re not just analyzing data—you’ll reshape the way it’s used, by developing advanced tools, optimizing databases, and creating custom solutions.

This is your chance in developing cutting-edge techniques for big data preparation and analysis, sharing your expertise by publishing methods through the National Geospatial-Intelligence Agency (NGA) Tradecraft HUB, your work will become the new standard. You’ll be the architect behind data-driven insights that influence national security strategies by developing advanced techniques for querying, visualizing, and analyzing big data across intelligence disciplines to building custom tools and processes that automate data analysis, making it easier and faster for analysts to extract vital intelligence. Collaborating with Analysis and Operations Support (AOS) and NGA CENTCOM teams to expose new datasets and create migration strategies for legacy data systems. Utilzing Python, R, ArcGIS, SPSS, and more, while continuously innovating new ways to optimize data for faster, more efficient analysis. Every model, tool, or solution you create will support real-world implications, directly contributing to national security and global stability. Join XTS today as we support NGA in extracting actionable intelligence from vast datasets, unlocking patterns and relationships that could change the course of key missions!

Requirements

  • Current active Top Secret / SCI clearance
  • You have achieved the accomplishment of a Bachelor’s Degree + 7 years of experience / Associate’s Degree + 8 years / 10+ years of relevant experience.
  • Proven ability to query, aggregate, optimize big data, using tools such as ArcGIS, Tableau, SPSS, SAS, Excel or similar to optimize systems for improved performance and visualization.
  • Expertise in programming languages such as Python, R, and Visual Basic to extract patterns, relationships, behaviors from large datasets and build statistical models to solve complex problems.
  • Understanding of GEOINT standards, ability to apply structured processes to manage data, and capacity to solve complex geospatial intelligence challenges.
  • Capable of providing senior-level support, direction, and advice to leadership on processes and technology, as well as performing quality assurance checks to the team.

Desired Experience / Skills

  • Familiarity with Activity-Based Intelligence (ABI) methodologies and their application.
  • Experience with GEOINT analytical databases and reporting tools such as ArcServer, etc. in order to manage and analyze geospatial data, ensuring data integrity, delivering timely and accurate intelligence in order to perform high-level spatial analysis and optimizing workflow.
  • If you are passionate about tackling some of the most complex challenges facing the world today—where every second counts, leveraging data to make a real-world impact, please send your resume directly to Lanchi Lai, ( Lanchi.Lai@xts-inc.com )

    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. XTS is deeply committed to providing continuous training and career advancement opportunities, fostering the development of future leaders. 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.

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    Data Scientist • Arnold, MO, United States

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