Job Summary
A company is looking for a Data Scientist to develop algorithms and methodologies using machine learning and remote sensing data for regenerative agriculture.
Key Responsibilities
- Build, improve, and deploy machine learning models for predicting soil carbon stock
- Deliver end-to-end services for customers, including model training and quality assurance of results
- Collaborate with team members to ensure compliance with project-specific standards and methodologies
Required Qualifications
- Master's degree or Ph.D. in a relevant STEM field
- 3-6 years of industry or research experience in data science or related fields
- Strong proficiency in Python for data science
- Experience with machine learning models informed by remotely-sensed data
- Ability to independently manage projects and deliver results
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