• As a Data Scientist, responsible for algorithm and methodology development using machine learning and remote sensing data to quantify benefits of regenerative agriculture at scale • Build, improve, and deploy machine learning models for predicting soil carbon stock • Ensure compliance of data and methods with various standards • Characterize accuracy and uncertainty of model predictions • Execute full development cycle from exploratory data analysis to production • Communicate research through documentation, presentations, and publications.