Geospatial Data Scientist (Research Fellow or Part-time Consultant)

Terrafuse is pioneering AI technology that revolutionizes climate and weather modeling, making it 1000x faster and 100x cheaper than existing solutions. Born from academic expertise at Lawrence Berkeley National Lab and supported by prestigious institutions like NSF, NASA, and Microsoft AI for Earth, Terrafuse is developing a Queryable Earth platform that combines cloud-native Earth observation with AI for actionable climate insights.

The company's initial focus is on wildfire and wind risk assessment, addressing critical challenges in insurance and environmental protection. Their groundbreaking wildfire risk model has already proven its worth by accurately predicting Los Angeles fires. This technology is vital for disaster preparedness and response, potentially saving lives and protecting the environment.

As a Geospatial Data Scientist, you'll join a team working on cutting-edge environmental solutions. The role combines environmental engineering expertise with data science, requiring proficiency in Python and GIS tools. You'll validate ML-based catastrophe risk models, process environmental datasets, and create impactful visualizations.

The position offers flexible part-time hours, making it ideal for professionals seeking to contribute to meaningful environmental projects while maintaining work-life balance. You'll benefit from mentorship opportunities and collaborate with passionate experts in a dynamic environment. The role can be performed remotely or from the San Francisco Bay Area, offering geographical flexibility.

This is an opportunity to work at the intersection of AI, climate science, and environmental protection, making a real difference in how we understand and respond to environmental challenges. Terrafuse's commitment to diversity and inclusion ensures a welcoming environment for professionals from all backgrounds.