Senior Data Scientist
Perennial(1 month ago)
About this role
The Senior Data Scientist at Perennial will apply advanced machine learning and remote sensing techniques to quantify soil carbon and the benefits of regenerative agriculture at scale. The role focuses on supporting carbon offset and Scope 3 projects by delivering robust soil organic carbon estimates for customers. It sits within a mission-driven, science- and data-focused organization advancing digital soil mapping for carbon markets. The position includes both applied research and production work in a collaborative, interdisciplinary environment.
Required Skills
- Machine Learning
- Remote Sensing
- Data Science
- Geospatial Analysis
- Python Programming
- Statistical Modeling
- Time Series Modeling
- Model Deployment
- Exploratory Data Analysis
- Uncertainty Quantification
+9 more
Qualifications
- Master's Degree in STEM
- PhD in STEM
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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