Senior Scientist (Geospatial Modeling and Statistics)

About the Role

We are seeking an exceptional Senior Scientist in Geospatial Modeling and Statistics to join our team to advance the climate change mitigation technology enhanced rock weathering (ERW). This successful candidate will lead the development of innovative tools and models to optimize site selection strategies, experiment and sample design, predictive models for ERW performance, and contribute directly to our measurement-reporting-verification (MRV) efforts. We seek a highly skilled problem-solver with expertise in geospatial analysis, statistical modeling, and environmental science, and a demonstrated ability to address complex scientific questions.

Location: San Francisco, CA

Roles and Responsibilities:

• Lead the development and implementation of geospatial tools and statistical models for enhanced rock weathering (ERW) site selection, experiment design, and sampling strategies.

• Develop and refine predictive models for ERW performance, incorporating geospatial data, environmental factors, and geochemical parameters.

• Oversee the collection, processing, and analysis of spatial data, including remote sensing, GIS data, and environmental datasets.

• Collaborate with cross-functional teams (e.g., field operations, geochemistry) to integrate geospatial insights into ERW project planning and execution.

• Contribute to the development of robust measurement, reporting, and verification (MRV) protocols for ERW projects, ensuring data quality and accuracy.

• Mentor and provide technical guidance to junior scientists and research staff.

• Actively build measurement, reporting and verification capacity to deliver carbon credits

• Present research findings at scientific conferences and publish in peer-reviewed journals.

Background and Requirements:

• Ph.D. in Geospatial Science, Geo-Statistics, Remote Sensing, Environmental Science, or a related field.

• A minimum of 3 years of post-doctoral experience in geospatial analysis, statistical modeling, or a related area, preferably with experience in environmental science 

• Demonstrated expertise in geospatial analysis software, machine learning tools, and statistical programming languages.

• Strong understanding of spatial statistics, geostatistics, and remote sensing data and techniques.

• Experience developing and validating predictive models, preferably in environmental or ecological contexts.

• Demonstrated ability to collaboratively work in a dynamic interdisciplinary team

• Familiarity with environmental data sources and databases.

• Experience with experimental design and sampling methodologies.

• Excellent written and verbal communication skills, with the ability to effectively communicate complex information to both technical and non-technical audiences.  

Personal Attributes:

• Highly motivated & mission-driven to address climate change.

• Strategic thinker with a hands-on approach to problem-solving.

• A positive attitude, bias for action, and tolerance for ambiguity.

• Ability to multitask and prioritize in a dynamic environment.

• Strong leadership qualities with a collaborative mindset.

What We Offer:

• Competitive salary & equity compensation 

• Comprehensive benefits package.

• A leadership role in pioneering an innovative climate solution.

• World-class team, investors, and advisors.

About Us: 

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.