Senior Data Scientist (Russian Geospatial Linguist) – TSSCI Required

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.

• Bachelors degree and 12 years of relevant experience or Masters 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.

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

• Prior experience briefing senior government stakeholders.

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.