GEOINT Innovation Data Scientist - TS​/SCI

Job Summary

The Leidos Geospatial Mission Solutions Portfolio is seeking a GEOINT Innovation Data Scientist to join our team in Alexandria, VA. This role will elevate national-level missions through data-driven insight and advanced analytic solutions, applying data science to real-world intelligence challenges with a focus on machine learning and natural language processing to support Next Gen FMI AI efforts. The position combines direct customer mission support and Leidos-driven innovation, blending problem solving with forward-looking solution development.

• Provide GEOINT/Data Science expertise to assure continuity of data provision to analytical users.
• Statistical analysis, machine learning modeling, and NLP-driven analysis of structured and unstructured data.
• Automating repetitive data management and analytic workflows using Python.
• Clean, convert, migrate, and organize structured and unstructured geospatial and text-based data.
• Perform ad hoc analysis and present results in a clear manner.
• Communicate complex quantitative and ML-driven analysis in a clear, precise, and actionable manner using storytelling/visualization. This may include data visualization of disparate sources via dashboards that can be understood by non-technical audiences.
• Create/deploy/maintain tools to extract features, data, and metadata from a variety of sources, including rasters, vectors, text, and other source databases.
• Write/maintain Python scripts for various environments and software including ArcGIS to improve efficiency of the production process and enable AI/ML workflows.
• Deliver service solutions that integrate best practices to modernize current practices, including AI-enabled and NLP-driven analytics.
• Perform data investigations on complex problems using applied statistics, machine learning, and algorithm development while collaborating with domain experts.
• Ensure new workflows can be integrated seamlessly with modernized database applications and enterprise-level APIs.
• Data visualization of production metrics of in-house created data.

• Strong geospatial experience, including hands‑on work with geospatial data, coordinate systems (latitude/longitude, UTM), projections, and data transformations.
• 5 – 7 years of demonstrated programming experience, with strong proficiency in Python for data analysis, automation, and model development.
• 3–5 years of experience in data science, including data collection, processing, exploitation, transformation services, modeling, and analytics.
• Prior experience in customer footprint supporting analytic production.
• Demonstrated experience applying machine learning techniques and/or natural language processing (NLP) to real‑world problems.
• Experience working with geospatial data in data science or analytic workflows.
• Knowledge and experience using version control tools such as Git.
• Knowledge and experience using GIS tools such as QGIS and/or ArcGIS.
• Knowledge and experience using PostgreSQL, PostGIS, PgAdmin.
• Knowledge and experience using APIs.
• Knowledge and experience using applied statistics and building algorithms.
• Ability to present technical findings clearly to non-technical stakeholders.
• Willingness to provide sample code portfolios (e.g., Git Hub or similar) demonstrating technical capabilities in Python, data science, ML, or NLP (no proprietary or classified material).
• Requires a BA degree and 4 – 8+ years of prior relevant experience or Masters with 2 – 6+ years of prior relevant experience.

• Experience applying machine learning and/or NLP specifically to geospatial or intelligence problems.
• Experience transitioning from geospatial analysis into data science or AI/ML-focused roles.
• Experience in combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photography, and digital data formats.
• Experience performing data analysis to identify trends, anomalies, and opportunities within complex datasets.
• Knowledge of ESRI tools including ArcGIS/Arc Pro and Arc Server.
• Knowledge of database systems and architecture.
• Ability writing SQL and No
  
  SQL.
• Understanding of cloud…