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
Education:
MSc/Ph D in

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