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 (Ciudad de México)
🏢 Pyramid Consulting
📍 Ciudad de México