Environmental Data Scientist (Biodiversity)
Core
An ecologist who codes, building quantitative and digital capabilities for biodiversity accounting, ecological modeling, and nature-based solutions (NbS) across Singapore and Asia-Pacific.
Role type
Senior IC Environmental Data Scientist (Biodiversity)
Builds
Species distribution models, habitat suitability maps, biodiversity metrics, field data collection apps, and automated survey pipelines.
Domain
Environmental Science / Biodiversity / Natural Capital / Spatial Ecology
Deliverable
production ML models
Required skills
Ecological theory (population/community dynamics, landscape ecology), Python/R coding, Machine Learning, GIS, Database design, Field data systems
Preferred skills
Remote sensing (Google Earth Engine), Connectivity modeling, Natural capital frameworks (TNFD, SEEA EA), Bioacoustic/Camera trap processing, App development
Technologies
Python, R, GIS (ArcGIS/QGIS), Google Earth Engine, Git, LLM tools
Responsibilities
Build and validate species distribution and connectivity models; Develop analytical workflows for biodiversity metrics; Design and deploy field data collection applications; Train and evaluate ML models for ecological data; Write technical report sections for EIA and NbS deliverables.
Seniority
Senior, hands-on IC