Geospatial Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and implement Python-driven geospatial models that assess environmental and physical hazards with a level of accuracy that influences significant business decisions.

• Design and develop the geospatial data pipelines for Neural Earth, encompassing the systems, infrastructure, and scientific frameworks that convert raw hazard data into indexed intelligence products.

• Transform intricate, multi-hazard scientific insights into market-ready products that are clear and persuasive for insurance underwriters, government agencies, and enterprise decision-makers.

• Act as the internal and external subject matter expert on geospatial data science for Neural Earth, facilitating customer interactions, proposal development, and strategic discussions.

• Implement rigorous validation protocols for all geospatial models, ensuring that methodologies are reproducible, cross-validated, and defensible across various industries and locations.

⛳️ Requirements

• Master's or PhD in Geospatial Science, Data Science, Atmospheric or Environmental Science, or a related discipline.

• Over 5 years of experience working with geospatial data in either research or applied settings, beyond academic training.

• Previous experience in sectors such as insurance, energy, government, defense, or climate technology.

• Proven track record of developing and leading technical capabilities, which includes managing or mentoring at least one direct report.

🏝️ Benefits

• Competitive base salary regardless of work location.

• Cash bonuses based on company performance.

• Majority employer-covered health, dental, and vision insurance for you and your dependents.

• Flexible Paid Time Off (PTO).

• Group Life Insurance at twice your base salary, provided by the company.

• Flexible Spending Account (FSA) and Health Savings Account (HSA) options to optimize your healthcare spending.