Intermediate Spatial Ecologist at WSP

Elevate environmental decision-making as an Intermediate Spatial Ecologist with WSP, leveraging advanced geospatial analytics in a hybrid work model. Bring your expertise in AI, machine learning, and ecological data analysis to the team.

WSP is seeking a skilled individual to enhance its Ecology team. With a focus on integrating cutting-edge technologies and traditional ecology, your work will support various projects across multiple sectors. This role requires a strong foundation in GIS, Python, and techniques for biodiversity assessment and habitat mapping.

Key Responsibilities:

• Analyze spatial datasets for diverse ecological projects

• Develop GIS workflows, including spatial modeling and automation

• Apply machine learning techniques to ecological modeling

• Create visualizations with Python and R

• Conduct statistical analyses for data interpretation

Requirements:

• Master’s in Ecology or related field

• 5–10 years of applied spatial ecology experience

• Proficiency in ArcGIS Pro or QGIS

• Strong Python programming skills

• Experience with remote sensing and ecological datasets

Join WSP to leverage your skills in GIS, machine learning, and environmental analysis.
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