Senior Data Scientist; Russian Geospatial Linguist - TS​/SCI Req Security Clearance

Position: Senior Data Scientist (Russian Geospatial Linguist) - TS/SCI Req with Security Clearance
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- Description Leidos is seeking a Senior Analyst with Russian Geospatial Linguistic expertise to support a customer site in Springfield, VA. An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered. This position is a unique hybrid role requiring deep expertise in Imagery Analysis (IMINT/GEOINT) combined with advanced data science capabilities and strong Russian language and geospatial linguistics/toponymy skills.

The selected candidate will exploit, analyze, and produce intelligence products 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 produced data is geospatially precise, linguistically accurate, and operationally relevant. Accuracy, analytic rigor, and mission responsiveness are essential.

Primary Responsibilities
* Structure disparate and unstructured data (imagery, text, geospatial features) into usable formats for quantitative analysis and fusion.
* Develop and maintain data pipelines using Python, R, or SQL to support automated analytic workflows.
* Apply existing machine learning models and statistical methods to support pattern detection, feature extraction, and predictive analysis.
* Develop ontologies and data schemas to standardize geospatial and linguistic datasets across analytic environments.
* Generate automated workflows to improve efficiency, reproducibility, and scalability of analytic production.
* Perform exploratory and ad hoc data analysis to identify trends, anomalies, and mission-relevant insights.
* 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 Russian-language data sources to enhance analytic context and accuracy.
* Translate complex quantitative and analytic findings into clear, actionable intelligence through visualization and storytelling.
* Collaborate with cross-functional analytic teams to ensure consistency in data, language, and geospatial standards.
* 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, Analytics, GEOINT, or related field. Additional experience may be considered in lieu of degree.
* Demonstrated senior-level experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
* Proficiency in Python, R, or SQL for data analysis, pipeline development, and automation.
* 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.
* Russian language proficiency with minimum ILR Level 2+ reading (3 preferred).
* Strong understanding of geospatial data concepts and ability to integrate spatial data into analytic workflows.
* Experience working with GIS tools such as ArcGIS Pro or QGIS.
* Strong research, critical thinking, and analytic writing skills.
* 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
* 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 for geospatial or linguistic data.
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