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# GIS/Geospatial Data Scientist

- **Company:** Infomedia, Inc.
- **Location:** United States (Remote available)
- **Contract:** Temporary contract
- **Skills:** Geographic Information Systems, Application Programming Interfaces (APIs), Amazon Web Services, Business Analytics Applications, ArcGIS (Software), Microsoft Azure, Cloud Computing, Information Engineering, GeoServer, Python (Programming Language), Metadata, Metadata Standards, PostGIS, Quantum GIS (QGIS), Spatial Data Infrastructures, SQL Databases, Google Cloud, Data Lakes, Geospatial Data Abstraction Library (GDAL), Raster Graphics, MapServer
- **Published:** October 7, 2026
- **Apply:** https://computerjobs.com/us/en/mob/job/11B5F5F9917D566770

## About the Role

* Relevant university degree; a first-level degree with additional relevant experience may be accepted.
 * Proven GIS, geospatial data engineering or spatial analytics experience.
 * Practical knowledge of raster/vector data, coordinate reference systems and spatial quality controls.
 * ArcGIS, QGIS, GDAL/OGR, PostGIS, GeoServer, MapServer or equivalent tools.
 * Python geospatial libraries such as GeoPandas, Rasterio, Shapely, Fiona, PyProj or Xarray.
 * SQL/spatial SQL and cloud processing in Azure, AWS or Google Cloud.
 * Geospatial integration into data lake/lakehouse and analytics platforms.
 * GIS formats and standards: GeoJSON, Shapefile, GeoTIFF, WMS/WFS/WCS and OGC APIs.
 * Familiarity with metadata standards such as ISO 19115 or DCAT/DCAT-AP.
 * Excellent written and spoken English.

SDMX, environmental indicators and international reporting experience are advantages.
Relevant Azure certifications are desirable.
Qualified female candidates are particularly encouraged to apply.

## Description

GIS/Geospatial Data Scientist - Python, PostGIS, Azure - Remote from Western or Northern Europe - UN Client, * Assess raster/vector datasets, administrative boundaries, coordinate systems, metadata and data quality.

 * Implement geospatial workflows: reprojection, geometry validation, spatial joins, clipping, aggregation, buffering and proximity analysis.
 * Prepare and publish validated spatial data for analytics, APIs, map services and visualization.
 * Support OGC services and geospatial APIs.
 * Collaborate with data engineering, cloud, architecture and governance teams.
 * Produce technical documentation and handover materials.