Senior Data Scientist

Responsibilities

• 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
• 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

• 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
• Experience with geospatial data (imagery, vector, raster) and geospatial analytics (desired)

Demonstrates expertise in applying advanced analytics and machine learning to geospatial intelligence, with a strong focus on developing and deploying models and data processing pipelines. Proficient in collaborating with cross-functional teams to translate analytical requirements into actionable software solutions.