Geospatial Data Scientist
Location: Remote
Compensation: To Be Discussed
Reviewed: Thu, May 08, 2025
This job expires in: 20 days
Job Summary
A company is looking for a Geospatial Data Scientist to support the development of advanced geospatial analytics and machine learning capabilities.
Key Responsibilities
- Develop machine learning models using geospatial data (e.g., satellite imagery, LiDAR, vector features)
- Implement data pipelines to handle large spatial datasets from multiple sensors and platforms
- Perform exploratory data analysis (EDA) and visualization using modern geospatial tools
Required Qualifications
- Bachelor's or Master's degree in Data Science, Remote Sensing, Environmental Science, Geography, or related field
- 3+ years of experience applying machine learning to geospatial data
- Proficiency in Python and geospatial libraries (e.g., Rasterio, GDAL, GeoPandas, Scikit-learn, PyTorch, Tensorflow)
- Familiarity with GIS tools like QGIS or ArcGIS
- Experience with spatial databases (e.g., PostGIS, DuckDB, Timescale, MongoDB) and cloud-native workflows
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