Data Scientist, Geospatial
Core
Build physics-backed predictive risk models on digital twins of electricity grids using LiDAR, GIS, and weather data to simulate extreme weather impacts and prevent wildfires.
Role type
Senior IC data scientist (geospatial/power grid)
Builds
Production ML models for grid risk simulation and capital investment decision support
Domain
Energy infrastructure + Geospatial/Remote sensing
Deliverable
production ML models
Required skills
Machine learning, Geospatial data analysis, LiDAR processing, GIS, Predictive modeling, Spatial data pipelines, QA/QC for spatial data, Coordinate reference system transformations
Preferred skills
Power grid domain knowledge, Wildfire risk modeling, Fast-paced scale-up environment experience
Technologies
LiDAR, GIS, Digital twins, Satellite imagery
Responsibilities
Collaborate with customer geospatial teams on-site to understand data workflows and solve spatial challenges; Build predictive risk models combining LiDAR, terrain, and weather data to simulate conductor sag, sway, and vegetation fall-in; Translate spatial risk metrics into data-driven insights for utility capital investment; Build and maintain robust spatial data pipelines for ingesting and cleaning diverse geospatial formats; Establish QA/QC benchmarks for spatial accuracy and structural alignment; Mentor team members on model training and data analytics best practices
