Data Scientist

Number of employees

40

São Paulo, Brazil

Posted on: 2025-06-06

Category: carbon

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Over millions of years, silicate rock weathering has regulated Earth’s climate. By crushing silicate rocks and spreading them on agricultural soils - an approach called Enhanced Rock Weathering (ERW) - we can accelerate Earth’s natural process into a solution capable of addressing the urgency of climate change.

Existing agricultural and silicate rock sites - namely 5,000+ global silicate rock quarries surrounded by agricultural land - have the potential to remove billions of tonnes of CO2 with enhanced rock weathering. Despite this potential, ERW hasn’t scaled given the extraordinary scientific, technological, and operational challenges involved. Terradot, founded out of the Stanford ecosystem, is addressing these challenges by advancing the science, building the technology, and assembling the coalition needed to make this potential a reality.

We’ve started in Brazil – one of the world’s most optimal locations for ERW thanks to its tropical soils, strength in agriculture, and clean electricity grid. There, we are building the most ambitious ERW hub to date. This hub will drive the necessary breakthroughs in ERW science, ensuring every tonne of carbon dioxide removed is measured and tracked with certainty. 

These insights will power digital tools for the optimization and verification of carbon removal projects, enabling the replicability of these hubs globally If successful, this approach will uniquely and rapidly catalyze global-scale carbon removal, enabling the transformation of [300] such quarries in Brazil and [5,000+] global quarries into carbon removal hubs. 

Terradot has assembled a growing team of leading scientists and engineers with decades of published research (over 100,000 citations on ERW) and hands-on expertise in related fields, providing unmatched experience to drive advancements in ERW.

Data Scientist

We are seeking a highly skilled and analytically rigorous Data Scientist to join our team. This role involves tackling complex, large-scale data challenges using advanced quantitative methods, with a specific application domain focused on spatial data relevant to environmental systems. You will be responsible for designing, implementing, and deploying sophisticated statistical models, measurement frameworks, and data infrastructure that directly inform critical business and scientific decisions. This is an Individual Contributor (IC) role demanding significant technical depth, intellectual curiosity, and the ability to drive foundational advancements in our analytical capabilities.


Location: São Paulo, Brazil
Languages: English required, Portuguese a plus


Role Responsibilities:

  • Develop and productionize statistically rigorous measurement frameworks and experimental designs suitable for field deployment and robust estimation of carbon removals.

  • Develop, validate, and deploy advanced statistical and machine learning models leveraging complex spatial and temporal data for prediction, imputation, and inference.

  • Architect and manage data storage solutions optimized for performant storage and retrieval of national-scale spatial datasets.

  • Conduct cutting-edge research into novel spatial sampling methodologies and statistical inference techniques tailored to challenging real-world constraints, particularly within the context of ERW.

  • Collaborate closely with engineering teams to integrate quantitative models and data infrastructure into scalable systems and operational platforms.

Background and Requirements:

  • PhD in Statistics, Applied Mathematics, related quantitative field, or equivalent experience, with demonstrated expertise in developing model applications for real-world deployment, particularly in environmental contexts.

  • Strong mathematical foundation with proven ability to develop and validate robust statistical and machine learning models that leverage complex spatial-temporal data for prediction and inference.

  • Strong programming skills (Python preferred, but R/MATLAB/Julia/C/Java/etc is fine), with experience building efficient data pipelines and working in a shared codebase.

  • Exceptional communication and collaboration skills with proven ability to work across multidisciplinary teams (engineering, science, commercial) to translate complex technical concepts and drive measurable impact for stakeholders.

Nice to Haves:

  • Familiarity with Julia for high-performance numerical computing.

  • Experience in agriculture, environmental science, climate tech, or remote sensing.

  • Experience working with large-scale environmental data, remote sensing data, or public gridded datasets.

  • Experience with building data pipelines and API integrations.

Personal Attributes:

  • Strategic thinker who can balance short-term needs with long-term vision.

  • Highly collaborative, with strong leadership skills and a hands-on approach to problem-solving.

  • Ability to navigate ambiguity and prioritize effectively in a fast-paced environment.

  • A positive, action-oriented mindset with a focus on outcomes.

  • Strong communication skills to convey complex quantitative concepts to diverse audiences.

What does success look like in this role?
Driving significant advancements in our core quantitative methodologies and technical infrastructure, directly enabling more accurate carbon removals measurement, robust verification, and effective decision-making for our scientific and operational teams.


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. 1 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.

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