About this role
The Data Scientist at Perennial develops algorithms and methodologies to quantify soil carbon stocks and the benefits of regenerative agriculture using remote sensing and machine learning. The role supports digital soil mapping and carbon market methodologies, delivering reliable analytical outputs for customers and carbon projects. This position also contributes to applied research, peer-reviewed science, and external presentations to advance soil carbon MRV. The work directly supports climate-smart agriculture and decarbonization of the food supply chain.
Required Skills
- Machine Learning
- Remote Sensing
- Digital Soil Mapping
- Data Science
- Geospatial Analysis
- Python Programming
- Statistical Modeling
- Time Series Modeling
- Exploratory Data Analysis
- Model Deployment
+10 more
Qualifications
- Master's Degree in Statistics
- Master's Degree in Mathematics
- Master's Degree in Computer Science
- Master's Degree in Remote Sensing
- Master's Degree in AI/ML
- Master's Degree in Ecosystem Science
- Master's Degree in Soil Science
- Master's Degree in Geography
- PhD in Statistics
- PhD in Mathematics
+6 more
About Perennial
perennial.earthPerennial is an MMRV (measure, monitor, report, verify) platform that quantifies field‑level greenhouse gas emissions reductions and carbon removal for any crop or land use anywhere on Earth. It produces low‑uncertainty, verifiable estimates while minimizing on‑farm sampling and keeping costs accessible. The service is built for farmers, land managers, project developers and buyers who need credible, scalable field‑level climate impact data for reporting and carbon programs.
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