Geospatial Data Scientist

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