Geospatial Data Scientist

Location: Remote
Compensation: To Be Discussed
Reviewed: Thu, May 08, 2025
This job expires in: 20 days
Geospatial Analytics Machine Learning Data Pipelines Visualization

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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