Demonstrated expertise with tools for data analysis, statistical computation, and visualization (such as Python or R); programing and pipeline development skills integrating large, complex datasets from structured and unstructured sources.
Demonstrated skills to use simple interfaces to build visualization capabilities of analysis outputs and results.
Experience in machine learning, data mining algorithms, and developing easy-to-use UIs such as R shiny
Ability to align and integrate data science research into crop product development pipelines and materials.