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GEOINT Innovation Data Scientist - TS/SCI required
Leidos
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Alexandria, United States
Location
Alexandria
Posted
June 09, 2026
Commute
Local Area
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Job Description
**Description**
The Leidos Geospatial Mission Solutions Portfolio is seeking a GEOINT Innovation Data Scientist to join our team in Alexandria, VA.
This is an exciting opportunity to elevate critical national-level missions through innovation, data-driven insight, and advanced analytic solutions.
As a GEOINT Innovation Data Scientist, you will help shape the next generation of geospatial capabilities by applying data science to real-world intelligence challenges, with a strong emphasis on machine learning (ML) and natural language processing (NLP) in support of NextGen FMI AI efforts. This position straddles the worlds of direct customer mission support and Leidos-driven innovation, blending hands-on problem solving with forward-looking solution development.
Weβre looking for someone who thrives at the intersection of geospatial analysis, Python-based development, and applied machine learning, and who is passionate about transforming geospatial data ...
The Leidos Geospatial Mission Solutions Portfolio is seeking a GEOINT Innovation Data Scientist to join our team in Alexandria, VA.
This is an exciting opportunity to elevate critical national-level missions through innovation, data-driven insight, and advanced analytic solutions.
As a GEOINT Innovation Data Scientist, you will help shape the next generation of geospatial capabilities by applying data science to real-world intelligence challenges, with a strong emphasis on machine learning (ML) and natural language processing (NLP) in support of NextGen FMI AI efforts. This position straddles the worlds of direct customer mission support and Leidos-driven innovation, blending hands-on problem solving with forward-looking solution development.
Weβre looking for someone who thrives at the intersection of geospatial analysis, Python-based development, and applied machine learning, and who is passionate about transforming geospatial data ...