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As a Senior Data Scientist, you'll analyze complex data to support NGA, develop scalable Python solutions, and integrate findings into mission workflows for decision-making.

Design, refine, and operationalize geospatial analytic models to bring consistency and transparency to GEOINT analysis. Extract, transform, and structure complex datasets, automate workflows, build dashboards, integrate models with analytic platforms, and ensure tradecraft integrity and defensible scoring frameworks that withstand scrutiny.

Lead systems engineering for the Census Bureau GEO division: oversee cloud-native migration, manage GEOTAM workflows, maintain/improve systems frameworks, provide technical and managerial leadership, interface with senior stakeholders, and ensure financial and staffing oversight to meet technical requirements.

Design, refine, and operationalize geospatial analytic models; structure GEOINT attributes into defensible scoring frameworks; automate workflows and build dashboards; integrate models with analytic platforms (ArcGIS); work with analysts and leadership to ensure tradecraft integrity, transparency, and repeatable mission-focused outputs using Python and SQL.

As a Senior Data Scientist, you will enhance GEOINT production by developing data visualizations, utilizing Python and SQL, and supporting operational analytics for mission success.

The GIS Geodatabase Engineer manages large secure datasets, automates database processes, and focuses on enterprise-scale geodatabases to support military intelligence.

The Analytic Methodologist will enhance GEOINT capabilities through methodology development, training, and workflow optimization while working collaboratively across teams.

As a Front End Web Developer, you will build and design web applications, integrate with back-end services, and enhance usability and performance for users accessing complex geospatial data.

Design, support, and optimize PostgreSQL-based data systems for USGS; write efficient SQL, manage large datasets, automate workflows with Python, implement CI/CD using GitLab/GitHub, and deploy/scale databases on AWS (EC2, S3, RDS) to ensure data integrity, performance, and operational reliability.

Support NGA as a data scientist: design scalable processes, develop Python-driven solutions to analyze messy geospatial/intelligence data, produce operational visualizations and workflows, collaborate with analysts, and manage multiple projects from exploration to deployment to inform mission decisions.