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# Senior Data Scientist (Machine Learning & Geospatial Analytics) - TS/SCI Required in Springfield

- **Company:** Energy Jobline
- **Location:** Springfield, MO, United States
- **Experience:** Expert
- **Salary:** $92,300.0 - $166,850.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Data Analysis, Geospatial Intelligence, Python (Programming Language), Machine Learning, Information Technology, Software Coding
- **Published:** July 10, 2026
- **Apply:** https://www.energyjobline.com/job/senior-data-scientist-machine-learning-geospatial-analytics-ts-sci-required-springfield-31117028

## About the Role

Leidos is seeking a Senior Data Scientist with strong machine learning development and coding expertise to support a customer mission in Springfield, VA. Russian proficiency is a strong plus, but not required.

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An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.

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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 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, - sources, and geospatial metadata to enhance analytic accuracy and mission impact., Accuracy, analytic rigor, and mission responsiveness are essential., Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
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Demonstrated senior-level experience designing, training, and deploying machine learning models.
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Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions., Experience working with geospatial data and integrating spatial context into analytic workflows., Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.

## Description

The analyst will work closely with Intelligence Community (IC) partners, geographic names experts, and multi-INT analysts to ensure imagery-derived assessments are geospatially precise, linguistically accurate, and operationally relevant.


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