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