Senior Data Scientist

• Train, improve, and deploy machine learning models for predicting soil carbon stock with remotely-sensed covariate data and limited training data
• End-to-end deliveries for customers: train models, run predictions, and ensure quality results are delivered in customer reports
• Interface directly with customers to learn about their needs and pain points, and partner with business development team to identify solutions
• Work with other data scientists, engineers, and policy experts to ensure data and methods comply with various standards and methodology requirements

This role helps verify climate-smart agriculture by quantifying soil carbon sequestration at scale, enabling the food supply chain to decarbonize and unlocking soil as one of the world's largest carbon sinks.

• Master's degree or Ph.D. in statistics, math, computer science, remote sensing, AI/ML, ecosystem science, soil science, geography, or related STEM field
• 5–8 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

• Competitive compensation packages with starting salary range of USD $150,000-$180,000 plus equity
• Generous PTO, health, vision, dental, 401k, and HSA benefits
• Fully stocked kitchen and professional development opportunities
• Mission-driven collaborative environment with flexible remote/hybrid work options

Perennial is building the world's leading verification platform for soil-based carbon removal, using advanced remote measurement technology to map soil carbon and land-based GHG emissions at continent-level scales to help verify climate-smart agriculture.