Geospatial Data Scientist

Collect, analyze, and interpret intricate geospatial data to inform critical business decisions. Develop and implement sophisticated risk models and climate analytics. Optimize operational strategies through data-driven insights. Partner closely with data scientists, engineers, and business leaders to understand their challenges, define data requirements, and strategically expand our central geospatial data library. Design, build, and maintain robust, scalable geospatial data pipelines using Python and open-source libraries to ensure a seamless flow of high-quality data for analysis. Ingest, clean, and validate a wide array of geospatial data types—from vector and raster to point cloud and tiled indexes, transforming raw information into analysis-ready assets. Apply advanced spatial statistical methods to identify and model critical patterns and trends that will drive our business strategy.