Perennial is building the world's leading verification platform for soil-based carbon removal. 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.
Requirements
- Master's degree or Ph.D. in statistics, math, computer science, remote sensing, AI/ML, ecosystem science, soil science, geography, or a related STEM field
- 3–6 years of industry or research experience in data science, applied ML, geospatial analysis, or related fields
- Strong proficiency in Python for data science (e.g. pandas, scikit-learn, xarray, numpy)
- Experience building machine learning, statistical, or time series models informed by remotely-sensed data or large spatial datasets
- Good communication and collaboration skills with functional and cross-functional teams
- Ability to independently manage a project and deliver results
Benefits
- Generous PTO
- Health insurance
- Vision insurance
- Dental insurance
- 401k
- HSA benefits
- Fully stocked kitchen