The Opportunity:

• Apply advanced analytics and machine learning to mission problems for the National Geospatial-Intelligence Agency (NGA). 
• Work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage. 
• Collaborate directly with analysts and mission users to shape analytic capabilities from concept to deployment. 
• Lead data science practices within a multi-team Agile delivery environment.

Responsibilities:

• Design, develop, and deploy analytic models and machine learning solutions against large-scale structured and unstructured datasets. 
• Build and automate data processing pipelines for collection, cleaning, transformation, and enrichment. 
• Develop visualizations and analytic products that communicate complex findings to technical and non-technical audiences. 
• Collaborate with mission analysts to translate analytical requirements into deployed software capabilities. 
• Integrate analytic capabilities with program systems and services in coordination with development teams. 
• Evaluate model performance, drive iterative improvement, and document methodologies. 
• Mentor mid-level data scientists and promote analytic best practices across the program. 

Qualifications:

Required: 

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (equivalent experience accepted). 
• 8+ years of data science, analytics, or related engineering experience. 
• Expert proficiency in Python (or R) for data manipulation, modeling, and analysis. 
• Experience developing and deploying machine learning models into production environments. 
• Strong SQL skills and experience with large-scale data platforms. 
• Demonstrated experience with data visualization tools and techniques. 
• Security Clearance (TS/SCI) with willingness to undergo polygraph examination.

Desired:

• Experience with geospatial data (imagery, vector, raster) and geospatial analytics. 
• Familiarity with cloud-based ML services and containerized model deployment. 
• Experience supporting NGA analysts or Intelligence Community mission workflows.