Insight Is Still the Currency of Data Science

The true currency of data science remains the discovery of valuable insights, a principle that grows more critical as AI coding agents automate implementation. This technological shift allows data scientists to move beyond the mechanics of writing code and dedicate more time to the scientific work of exploration, formulating questions, and deeply understanding the data. An analysis's credibility depends on the strength of its evidence and reasoning, not just the elegance of its code. Therefore, review processes should evolve past code-centric pull requests to a more holistic examination of the entire analytical journey, using tools like notebooks to present the hypothesis, data, and conclusions together.