Geospatial Data Scientist
Core
Collates, validates, analyses, and models spatial data (hyperspectral, multispectral, LiDAR) using AI and statistical workflows to produce spatial products and reports for forest monitoring and management.
Role type
Geospatial Data Scientist (Research & Analysis)
Builds
Analysis-ready data products and spatial reports underpinning research projects for the Forests Research Resources team.
Domain
Environmental science / Forestry / Remote sensing
Deliverable
production ML models | dashboards & analysis
Required skills
Machine learning, deep learning, statistical modeling, Python, R or C++, hyperspectral data processing, multispectral data processing, LiDAR data processing, 3D point cloud software, cloud computing, Linux, data visualization
Preferred skills
ENVI, ggplot, Tableau, field data collection
Responsibilities
Develop and apply ML/DL/statistical techniques to remotely sensed datasets, assemble and curate analysis-ready data products, publish and present findings to scientific and industry audiences, collaborate on research proposals, conduct occasional fieldwork to collect data
Seniority
Senior, hands-on IC