Workflow orchestration is crucial in modern data science for managing multi-task ML workflows. It encompasses the coordination and management of the entire data science workflow, ensuring tasks are executed efficiently and in the correct sequence. While skills like efficient cluster creation, performance optimization, and feature engineering are valuable, workflow orchestration is the key skill that integrates these components, facilitating a streamlined and organized process.