Data Scientist
Core
Develop geospatial models, statistical analyses, and quantitative products to support the measurement and scaling of Enhanced Rock Weathering operations.
Role type
Data Scientist (Geospatial & Statistical Modeling)
Builds
Geospatial models, prediction/imputation tools, uncertainty estimates, and analytical workflows for carbon removal measurement.
Domain
Climate Tech / Carbon Removal / Environmental Science
Deliverable
production ML models | dashboards & analysis
Required skills
Statistics, Python, SQL, Model Development, Experimental Design, Uncertainty Quantification, Data Visualization, Technical Writing, Domain Collaboration
Preferred skills
Geospatial tools (GeoPandas, rasterio), Spatial Databases (PostGIS), Remote Sensing, Bayesian Modeling, Causal Inference, Cloud Platforms (AWS/GCP)
Technologies
Python, SQL, GeoPandas, rasterio, xarray, PostGIS, AWS, GCP
Responsibilities
Develop geospatial and statistical models using field, laboratory, and remote sensing data; Analyze spatial and temporal variation across project areas; Build models for prediction, interpolation, and inference; Quantify model uncertainty and communicate assumptions; Design statistically rigorous approaches for measuring carbon removal; Translate scientific questions into analytical plans and decision-ready outputs; Partner with scientists to translate domain knowledge into model features; Produce maps, visualizations, and reports for stakeholders.
Seniority
Mid-Senior (Master's/PhD + 2-3 years experience)