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Senior Data Scientist (Machine Learning & Geospatial Analytics) – TS/SCI Required
Leidos • Springfield, United States
About the Role
**Description**
Leidos is seeking a Senior Data Scientist with strong machine learning development and coding expertise to support a customer mission in Springfield, VA. Russian language proficiency is a strong plus, but not required.
An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
This position is focused on advanced data science and machine learning development within a GEOINT mission space. The ideal candidate brings strong coding, model development, and analytic problem-solving skills, with the ability to integrate geospatial and multi-source data to deliver mission impact. Russian language and geospatial linguistic experience are considered a plus, but not required. The selected candidate will exploit, analyze, and produce imagery-derived intelligence products while integrating foreign geographic names data, native-language sources, and geospatial metadata to enhance analytic accuracy and mission impact.
Leidos is seeking a Senior Data Scientist with strong machine learning development and coding expertise to support a customer mission in Springfield, VA. Russian language proficiency is a strong plus, but not required.
An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
This position is focused on advanced data science and machine learning development within a GEOINT mission space. The ideal candidate brings strong coding, model development, and analytic problem-solving skills, with the ability to integrate geospatial and multi-source data to deliver mission impact. Russian language and geospatial linguistic experience are considered a plus, but not required. The selected candidate will exploit, analyze, and produce imagery-derived intelligence products while integrating foreign geographic names data, native-language sources, and geospatial metadata to enhance analytic accuracy and mission impact.
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