Forward Deployed - Geospatial Data Scientist; TS​/SCI

Forward Deployed - Geospatial Data Scientist

Active TS/SCI Clearance Required

Hybrid Structure: 75% On-Site

Compensation
: $,000

At Map Large we’re passionate about building software that solves some of the world’s hardest and most interesting problems across dozens of industries. We partner with the largest and most sophisticated institutions in the world to improve the lives of their users and customers with clever use of data and technology. Our products have been used to keep the world safe, improve global healthcare outcomes, deliver billions of packages on time, keep every plane in the sky safe and fuel efficient, improve navigation and safety for every boat in the ocean in real-time and more.

If these types of projects excite you, we'd love for you to join us.

This role is for forward deployed engineering work on site at cleared customer sites in Springfield, Dulles, and/or St. Louis (NGA). Map Large provides a high performance platform for geospatial analytics, AI and visualization. Our forward deployed solution teams develop integrated solutions on top of our products with immediate mission impact. If you enjoy working with sophisticated teammates to build cutting edge solutions for high value missions that appreciate innovative solutions, then Map Large is the place for you.

We are seeking a mission-driven Geospatial Data Scientist with an active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance to support cutting-edge geospatial intelligence (GEOINT) analysis and operational solutions. In this role, you will apply advanced data science, machine learning, and spatial analytics to detect patterns, support decision-making, and deliver insights from high-volume geospatial and imagery datasets. This role blends analytical rigor with practical problem-solving in support of NGA’s core mission: providing timely, relevant, and accurate geospatial intelligence in support of U.S. national security missions.

• Leverage large and diverse geospatial datasets — including imagery, remote sensing, sensor feeds, and spatial databases — to extract actionable insights for national intelligence and defense missions.
• Develop, evaluate, and implement statistical models, machine learning algorithms, and predictive analytics approaches to solve complex spatial and temporal problems.
• Integrate data science workflows into GEOINT analytic pipelines and collaborate with cross-functional teams (analysts, software engineers, product leads) to operationalize analytical outputs.
• Produce high-quality visualizations, dashboards, and spatial summaries that clearly communicate key results to internal stakeholders and external partners.
• Validate and document modeling approaches; conduct rigorous experiments and maintain reproducible analytic codebases.
• Support prototypes, tools, or automation that enhance analytic productivity and force multiplier effects across the agency.

• Active TS/SCI clearance
• Bachelor’s degree in Data Science, Computer Science, GIScience, Applied Mathematics, Statistics, Geography, or related quantitative field. Advanced degree preferred.
• 5+ years of professional experience applying statistics, machine learning, or data mining to real-world problems.
• Demonstrated proficiency with analytical tools and languages such as Python, R, SQL, and spatial libraries (e.g., GDAL, Geo Pandas, Arc Py).
• Familiarity with geospatial data formats and systems (GIS, remote sensing, imagery products).
• Strong problem-solving skills with the ability to work independently or as part of a team in a high-stakes environment.
• Deep analytical capabilities and mission focus — strong technically, collaborative in execution, and committed to operational excellence.

• Experience with deep learning frameworks (like Tensor Flow, PyTorch) for geospatial or imagery analysis.
• Knowledge of cloud-native analytics and containerized workflows.
• Understanding of intelligence community processes and GEOINT tradecraft.
• Prior work in defense, intelligence, or national security analytics.

While we hire all kinds of people and invent roles to fit…