This document discusses how to develop effective data scientists. It suggests focusing on "skill hyperparameters" or meta-skills like creativity, curiosity, and a scientific mindset. These attributes indicate someone who can learn new data science tools and approaches. The document also advocates for exploring different domains to foster a multidisciplinary approach and flexibility. It proposes applying principles from machine learning and agile methods to create a lab environment for developing data science teams through guided exploration and collaboration between trainees, technicians, and decision makers.