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 idóneo 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