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

Position: Senior Data Scientist (Machine Learning & Geospatial Analytics)  - TS/SCI Required
** 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.

** Primary Responsibilities*
* + 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.

** Basic Qualifications*
* + 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.

+ Familiarity with working in high-side (classified) environments.

** Desired Qualifications*
* + 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.

+ Experience developing machine learning models or AI-enabled analytics within national security or GEOINT environments.

+ Proficiency in Python for advanced analytics, automation, or data engineering workflows.

+ Experience developing ontologies, schemas, or knowledge graphs.

+ Experience integrating multi-INT or multi-source data into advanced analytic workflows.

+ Prior experience briefing senior government stakeholders.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history.…