Geospatial Data Scientist
Job Description:
- Design and deploy Python-based geospatial models that quantify environmental and physical hazards at a level of precision that drives real business decisions
- Architect Neural Earth's geospatial data pipelines from the ground up, including the systems, infrastructure, and scientific frameworks that turn raw hazard data into indexed intelligence products
- 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 geospatial data science, driving customer calls, proposals, and strategy discussions
- Establish rigorous validation standards for all geospatial models, ensuring methods are reproducible, cross-validated, and defensible across industries and geographies
Requirements:
- Master's or PhD in Geospatial Science, Data Science, Atmospheric or Environmental Science, or a related field
- 5+ years of experience with geospatial data in a research or applied setting, outside of academic training
- Prior experience in insurance, energy, government, defense, or climate tech
- Demonstrated ability to build and lead a technical capability, including managing or mentoring at least one direct report
Benefits:
- Competitive base compensation regardless of work location
- Company performance-based cash bonuses
- Majority employer-paid health, dental, and vision insurance for you and your dependents
- Flexible Paid Time Off (PTO)
- Group Life Insurance at 2x your base salary, paid by the company
- FSA and HSA options to maximize your healthcare dollars
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