• Develop accurate, high-quality models and datasets for production area assessment and sourcing area (supply shed) analysis across multiple commodities and origin countries
• Leverage Meridia's in-situ farm plot datasets to train and validate models
• Adapt existing machine learning models to local agricultural contexts to improve prediction accuracy
• Create scalable and reproducible methodologies across different geographies and commodities
• Produce a methodology and codebase
• Organise all source files
• Provide full documentation covering operating workflow, methodology, data sources, retrieval and licensing details
• Support first-mile intelligence connecting commodity supply chains to production areas through production area assessment, supply shed modelling and traceability

Explore Senior Geospatial Data Scientist at Meridia. Review requirements and application details.