Geospatial Data Scientist

Neural Earth is a company focused on unifying planetary, governmental, and asset-level data to enable business-critical decisions. The Geospatial Data Scientist will own the weather and atmospheric analytics function, translating multi-hazard data into actionable intelligence products for various stakeholders. This role involves designing models, building capabilities, and leading scientific efforts to ensure that complex data is accessible and impactful.

Responsibilities:

• Design and deploy Python-based numerical weather prediction and geospatial models that quantify atmospheric hazards at a level of precision that drives real business decisions, not just research outputs
• Architect Neural Earth's atmospheric analytics capability from the ground up, including the team, data pipelines, and scientific frameworks that turn hazard data into indexed intelligence products customers can act on
• Convert complex, multi-hazard scientific findings into business-ready products that are legible and compelling to insurance underwriters, government operators, and enterprise decision-makers
• Serve as Neural Earth's internal and external subject matter expert on weather and climate, driving customer calls, proposals, and strategy discussions
• Establish rigorous validation standards for all atmospheric models, ensuring methods are reproducible, cross-validated, and defensible across industries and geographies