Data Scientist – Geospatial Remote Sensing / Satellite Analytics We are looking for a Data Scientist with strong experience in Geospatial Remote Sensing to build AI/ML models for satellite-based change detection and early-warning systems. The idóneo candidate should have hands-on expertise with Sentinel-1 (SAR) & Sentinel-2 imagery , Python , Py Torch , and geospatial data processing to detect terrain changes, pipeline displacement, and sand encroachment.
Must-Have Skills: Hands-on experience in Geospatial Remote Sensing and satellite imagery analysis Strong Python skills ( Num Py, Rasterio/GDAL, Xarray, Geo Pandas, Shapely, Scikit-Image ) Experience working with Sentinel-1 (SAR) & Sentinel-2 imagery Deep Learning using Py Torch ,



including Transfer Learning, Lo RA/PEFT Experience with change detection, time-series analysis, model validation (ROC/AUC), and geospatial data processing Good understanding of Coordinate Reference Systems (CRS), reprojection, and remote sensing workflows
Nice to Have: In SAR/SAR offset tracking (SNAP, ISCE) Geospatial foundation models (Prithvi-EO, Terra Torch) Copernicus/CDSE, Sentinel Hub, STAC MLOps, cloud, and geospatial data pipelines Space Tech, Earth Observation, Oil & Gas, or Pipeline Monitoring experience

📌 Data scientist (full-time) (Ciudad de México)
🏢 Pyramid Consulting
📍 Ciudad de México