Data Science

Join Terradot, a leading carbon removal company founded out of Stanford, focused on Enhanced Rock Weathering (ERW). We're seeking Data Scientists for our high-performance science and engineering team to develop an engine to jointly quantify and predict CO2 removal in ERW projects.

This role involves working on a challenging problem spanning geochemical modeling, geostatistical modeling, and the integration of complex environmental data. You will contribute to advancing the science and technology needed to scale ERW globally.

Responsibilities:
- Develop and implement models for CO2 removal quantification and prediction.
- Analyze complex environmental datasets.
- Collaborate with geochemists, earth scientists, and engineers.
- Contribute to the development of our data processing and modeling infrastructure (Python & Julia).

Ideal Candidate:
- Strong background in data science, statistics, or a related quantitative field.
- Proficient in Python and/or Julia.
- Experience with environmental data, geospatial data, or modeling complex systems is a plus.
- Domain background in geochemistry, earth science, or environmental science is appreciated but not required.
- Motivated to work on climate solutions in a fast-paced environment.