Senior Data Scientist; Machine Learning & Geospatial Analytics – TS​/SCI

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.

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. Accuracy, analytic rigor, and mission responsiveness are essential.

• Design, develop, train, and deploy machine learning models to solve complex mission problems.
• Write production-quality code in Python (or similar) to support model development, testing, and deployment.
• Structure disparate and unstructured data (imagery, text, geospatial features) into usable formats for quantitative analysis and fusion.
• Develop and maintain scalable data pipelines to support automated analytic workflows.
• Build and apply statistical models, machine learning algorithms, and data processing techniques for pattern detection and predictive analysis.
• Generate automated workflows to improve efficiency, reproducibility, and scalability of analytic production.
• Aggregate existing data stores and enable natural language processing (NLP) query capabilities using existing APIs.
• Process and analyze large volumes of unstructured data and documents to extract mission-relevant insights.
• Integrate geospatial and multi-source data into advanced analytic workflows.
• Translate complex quantitative findings into clear, actionable insights through visualization and storytelling.
• Collaborate with cross-functional teams to deliver scalable, mission-focused data science solutions.
• Brief findings clearly and confidently to technical and non-technical audiences.

• Active TS/SCI clearance with willingness to obtain a Polygraph.
• 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.
• Demonstrated senior-level experience designing, training, and deploying machine learning models.
• Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
• Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
• Experience structuring and processing large, complex, and unstructured datasets.
• Experience processing unstructured data and documents (e.g., text, reports, open-source content).
• Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
• Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
• Experience working with geospatial data and integrating spatial context into analytic workflows.
• Strong research, critical thinking, and analytic writing skills.
• Familiarity with working in high-side (classified) environments.
• Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.

• Russian language proficiency (ILR 2+ or higher).
• Experience working with geospatial linguistics, toponymy, or foreign geographic data.
• Regional expertise in Russian Federation and/or Russian-influenced geographies.
• E…