Data Scientist

As a Data Scientist, you will be responsible for algorithm and methodology development for an innovative company using machine learning and remote sensing data to quantify the benefits of regenerative agriculture at scale. The Perennial team is advancing the field of digital soil mapping (DSM) through impactful applied research, peer-reviewed science, and methodology development to bring DSM into the voluntary carbon markets. You will help us quantify changes in soil organic carbon stocks in agricultural soils, deliver reliable results for our customers, and partner with our applied scientists and engineers to continually improve our models and processes that support a variety of carbon offset and Scope 3 projects. Responsibilities include: Build, improve, and deploy machine learning models for predicting soil carbon stock with remotely-sensed covariate data and limited training data; train models, run predictions, and ensure quality results are delivered in customer reports. You will also characterize the accuracy and uncertainty of model predictions, communicate your research internally and externally through documentation, conference presentations, and peer-reviewed publications.