Senior Data Scientist (Geospatial)
We are seeking a cross-functional Senior Data Scientist (Geospatial) to lead the development and deployment of scalable geospatial solutions that drive critical business decisions. In this role, you will harness the power of spatial statistics, GIS, and machine learning to optimize field operations, enhance data accessibility, and support large-scale decision-making. This is an individual contributor (IC) role with high autonomy and the opportunity to simultaneously shape the company's geospatial data stack and capabilities and contribute to foundational modeling strategies.
Location : San Francisco, CA or So Paulo, Brazil
Languages : English required, Portuguese a plus
Role Responsibilities :
Background and Requirements :
Nice to Haves :
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What does success look like in this role?
Meaningful contributions to the advancement of our internal technical stack and methodology development, and providing support to the SciOps team to execute on our ambitions.
About Terradot :
Our mission is to stabilize Earth's climate by transforming nature's most powerful permanent carbon removal process into a global climate solution. By advancing science, building technology, and assembling a global coalition, we are catalyzing a global initiative to scale Enhanced Rock Weathering within the next decade, starting in Brazil.
Founded out of the Stanford University ecosystem, Terradot is led by the world's leading experts to advance the science and technology of ERW. Our unique structure bridges industry, academia, and government and allows our team to contribute with speed & scale. We have raised $58.2M in total funding from John Doerr, Sheryl Sandberg & Tom Bernthal, George Roberts, Microsoft's Climate Innovation Fund, Google, Cisco and Venture Funds, Floodgate, Kleiner Perkins, Acre Venture Partners, Gigascale Capital, Valor Capital, Ponderosa Ventures and others. We have sold ~300,000 tons in offtakes from leading CDR buyers like Frontier and Google.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Research suggests that qualified people from historically marginalized groups may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage individuals who believe they have the skills necessary to thrive to apply for this role.
Senior Data Scientist • San Francisco, CA, United States