Geospatial Data Scientist

Responsibilities

• Review project requirements and source datasets to define geospatial implementation baselines
• Design and implement geospatial data preparation workflows, including geometry validation and reprojection
• Support raster and vector data processing for downstream analytics, APIs, and visualization
• Implement geoprocessing functions such as buffering, proximity analysis, and spatial aggregation
• Provide technical input to API and interoperability teams on OGC-aligned service patterns
• Collaborate with data engineering and architecture teams to integrate geospatial datasets into governance workflows
• Define and execute geospatial validation activities and spatial accuracy checks

Requirements

• Advanced university degree in GIS, Geography, Geomatics, or a related discipline
• Professional experience in GIS, geospatial data engineering, or spatial analytics
• Hands-on experience with raster/vector data, coordinate reference systems, and spatial metadata
• Proficiency with GIS tools such as ArcGIS, QGIS, GDAL/OGR, PostGIS, or GeoServer
• Strong Python skills using libraries like GeoPandas, Rasterio, and Shapely
• Experience with cloud-based geospatial processing in Azure, AWS, or Google Cloud
• Excellent command of written and spoken English

Preferred Qualifications

• Azure Data Engineering or Azure Data Scientist Associate certifications
• Experience supporting data operations within mission-critical defense environments
• Understanding of SDMX or international reporting frameworks

Benefits

• 100% company-paid medical, dental, and vision premiums for individual employees
• Safe Harbor 401(k) plan with immediate vesting
• Flexible work hours and PTO
• Company paid training and professional development

About the Company

GeoCGI provides specialized geospatial services and supports the United Nations International Computing Centre (UNICC) Data and AI practice.