Geospatial Data Scientist
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
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
