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