We bring clarity to physical risk, enabling leaders to engage with confidence and enact resilient business critical decisions. Today's environmental, economic, and infrastructure challenges are deeply interconnected, yet the data required to understand these relationships is scattered across siloed and aging systems. Neural Earth enables operational execution; delivering a single decision intelligence platform that unifies planetary, governmental, and asset-level data, always on and always learning. This is technical work that requires patience. It requires teams willing to operate at the intersection of AI research, geospatial science, distributed systems, and enterprise deployment. It is also incredibly rewarding. Join us at Neural Earth, the next frontier is here.
Neural Earth is seeking a skilled and inquisitive Geospatial Data Scientist to support the development of advanced geospatial analytics and machine learning capabilities at Neural. This role plays a key part in designing and delivering data products that address critical challenges in environmental monitoring, infrastructure risk, and spatial decision-making. You will collaborate with engineers, scientists, and product managers to build models that process satellite, aerial, and vector data, enabling clients to extract meaningful insights from complex spatial datasets.
Your day-to-day will involve building workflows to clean, analyze, and transform large-scale spatial and temporal datasets. You’ll apply modern statistical and machine learning techniques to detect patterns, model trends, and support predictive analytics. Whether estimating climate impacts or classifying remote sensing images, your work will inform real-world decisions across industries.This position is ideal for individuals who love to work at the intersection of spatial intelligence and AI, are passionate about open data and tools, and thrive in collaborative, mission-driven environments.
The compensation range for this role is $135,000 - $200,000 annually, based on role, level, and expertise.
