Senior Data Scientist (Russian Geospatial Linguist) – TS/SCI Required

Leidos • Springfield, VA

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About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.
• Experience integrating multi-INT or multi-source data into advanced analytic workflows.
• Prior experience briefing senior government stakeholders.

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.

Benefits

• Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level