Geospatial Data Scientist
Core
Collates, validates, analyses, and models spatial data using AI and statistical workflows to produce spatial products and reports for forested landscapes of NSW.
Role type
Geospatial Data Scientist
Builds
Analysis-ready data products underpinning current and proposed 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, hyperspectral data analysis, multispectral data analysis, LiDAR data processing, Python programming, R programming, 3D point cloud software, cloud computing, Linux
Preferred skills
ENVI, data visualization tools (ggplot, Tableau), fieldwork
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 with government and academia, collect field data
Seniority
Senior, hands-on IC