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 adecuado candidate should have hands-on expertise with Sentinel-1 (SAR) & Sentinel-2 imagery , Python , PyTorch , 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 ( NumPy, Rasterio/GDAL, Xarray, GeoPandas, Shapely, Scikit-Image ) Experience working with Sentinel-1 (SAR) & Sentinel-2 imagery Deep Learning using PyTorch , including Transfer Learning, LoRA/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: InSAR/SAR offset tracking (SNAP, ISCE) Geospatial foundation models (Prithvi-EO, TerraTorch) Copernicus/CDSE, Sentinel Hub, STAC MLOps, cloud, and geospatial data pipelines Space Tech, Earth Observation, Oil & Gas, or Pipeline Monitoring experience Education: MSc/PhD in Remote Sensing, Geospatial Science, Earth Observation, Computer Science/Machine Learning, Physics, or equivalent practical experience.

📌 Data Scientist (México)
🏢 Pyramid Consulting
📍 México