We are seeking a highly skilled Senior Geospatial Data Scientist to lead the development of innovative solutions for climate resilience and environmental monitoring. This role requires a technical visionary capable of transforming massive Earth Observation (EO) datasets into actionable insights. The ideal candidate is an expert in cloud-based geospatial computing (GEE/Big Query) and has a proven track record of building predictive models for natural risks and land-use dynamics at a global scale. Key Responsibilities Data Architecture: Design and manage large-scale geospatial pipelines (Raster & Vector) within cloud environments (GCP, AWS, or Azure). Predictive Modeling: Develop and deploy Machine Learning and Deep Learning models for change detection, time-series analysis, and multi-hazard risk assessment (e.g., floods, wildfires, subsidence). Sensor Fusion: Integrate data from diverse sources, including multispectral optical sensors (Sentinel-2, Landsat), Synthetic Aperture Radar (SAR), and Li DAR. Solution Development:



Build custom Web GIS applications and interactive dashboards to translate complex scientific findings into accessible tools for stakeholders. Technical Mentorship: Oversee the scientific rigor of projects and act as a bridge between high-level strategic goals and technical execution. Technical Requirements (Preferred Stack) Programming: Advanced proficiency in Python (Geopandas, Xarray, Rasterio, Py Torch/Tensor Flow) and R . Cloud Computing: Expert-level experience with Google Earth Engine (GEE) and Google Big Query . Databases: Strong command of Postgre SQL / Post GIS . GIS Software: Professional use of QGIS or Arc GIS Pro . Education: Master's or Ph D in Geomatics, Remote Sensing, Environmental Sciences, Engineering, or a related quantitative field. Key Skills Ability to thrive in multidisciplinary and international environments. Proactive, solution-oriented mindset for solving complex environmental challenges. Excellent communication skills in E

📌 Senior geospatial data scientist (Italia)
🏢 XML International
📍 Italia