Data Scientist

Pyramid Consulting, Inc; Mexico; On-site; PHP 3,692,307 - 5,846,153; Full time

Job summary

Pyramid Consulting, Inc. seeks a Data Scientist specializing in Geospatial Remote Sensing and Satellite Analytics to develop AI/ML models for change detection and early-warning systems.

You will work with Sentinel-1 SAR and Sentinel-2 imagery, Python and PyTorch to build scalable geospatial pipelines, validate models, and deliver actionable insights for terrain changes, pipeline monitoring, and land cover dynamics.

Qualifications

• HHands-on experience in Geospatial Remote Sensing and satellite imagery analysis.
• Experience with Sentinel-1 (SAR) and Sentinel-2 imagery.
• Experience with change detection, time-series analysis, model validation (ROC/AUC), and geospatial data processing.
• Strong understanding of CRS, reprojection, and remote sensing workflows.

Skills

Geospatial Remote Sensing

Sentinel-1 & Sentinel-2 imagery

Python

PyTorch

Geospatial data processing

Time-series analysis

ROC/AUC model validation

CRS & reprojection

Education

MSc/PhD in Remote Sensing / Geospatial Science / Earth Observation / CS / ML

Tools

SNAP

ISCE

QGIS

GDAL

Job description

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 ideal 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
• Experience working with Sentinel-1 (SAR) & Sentinel-2 imagery
• 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)
• 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.