Minimum Qualifications
Education: BS in Geospatial Data Science, Geographic Information Science, Computer Science or close equivalent. Experience: Experience developing and optimizing algorithms. Extensive programming experience in Python and Javascript using best practices; Knowledge, Skills, and Abilities: Demonstrated ability to independently craft and document scientific code; Ability to write documentation for non-technical audiences; Comfortable working with the python geospatial stack, including GDAL , shapely, Rasterio, Geopandas, PySAL, rasterstats, etc.; Familiarity with geospatial data structures and algorithms and OGC standard protocols (EX. COGs, STACs); Familiarity with current remote sensing platforms (Landsat, Sentinel, Planet) and data delivery systems (EarthExplorer, Google Earth Engine, SentinelHub, S3); Basic proficiency using desktop software (e.g.. QGIS ) or web GIS software; Excellent English oral, written, and interpersonal communication skills.