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 | product features
Domain
Energy infrastructure + geospatial analytics
Deliverable
production ML models
Required skills
machine learning, geospatial data analysis, LiDAR processing, GIS, predictive modeling, data pipeline engineering, QA/QC for spatial data, stakeholder collaboration
Preferred skills
power grid domain experience, fast-paced scale-up environment experience
Technologies
LiDAR, GIS, digital twins, satellite imagery
Responsibilities
Embed with customer geospatial teams 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 risks; Translate spatial risk metrics into insights for utility capital investment decisions; Build and maintain robust spatial data pipelines for ingesting and cleaning diverse geospatial formats; Establish QA/QC benchmarks for spatial accuracy and coordinate reference system transformations; Mentor others in model training and data analytics best practices.
