Neural Earth brings clarity to risk, helping decision makers act with confidence and enact resilient business critical decisions. Today’s environmental, economic, and infrastructure challenges are deeply interconnected yet the information required to understand these relationships are scattered across siloed and aging systems. As risk evolves, organizations go extinct when reliant on incomplete or outdated information. Neural Earth unifies our planet's data and deploys a single AI powered system, enabling revenue-driving decisions in seconds, not weeks.
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.
