Consultant (Geospatial Analyst) – Technology and AI

Core responsibilities:

• Perform geospatial data analysis using QGIS, Python libraries, and Google Earth Engine to address project-specific questions
• Develop, test, and implement scripts in Google Earth Engine for large-scale satellite imagery processing, time-series analysis, and environmental monitoring
• Develop and maintain Python scripts to automate geospatial data processing workflows, data cleaning, format conversions, and integration tasks
• Create compelling maps, visualizations, and reports to communicate spatial patterns and analytical findings to technical and non-technical audiences

This role contributes to various projects by transforming raw spatial data into actionable insights and creating informative map products that support environmental monitoring and analysis for climate and energy research.

Required qualifications:

• Bachelor's or Master's degree in Computer Science, Geoinformatics, Remote Sensing, Environmental Science, or closely related field
• Minimum 1-3 years of relevant professional experience in geospatial data analysis
• Strong proficiency in Python programming for geospatial analysis (Geopandas, Rasterio, Shapely, NumPy), Google Earth Engine platform, and QGIS
• Solid understanding of fundamental GIS principles, remote sensing basics, and familiarity with cloud computing platforms (AWS, GCP, Azure)

Competitive compensation commensurate with experience and matching industry standards, above-market remuneration, strong visionary leadership with emphasis on research and impact at scale, opportunities for rapid learning and growth, and a safe, supportive work environment.