Data scientists often find themselves in positions where they have strong analytical insights but little formal decision-making power. In his article "Influencing without Authority for Data Scientists," Eugene Yan addresses this gap by outlining concrete strategies for getting recommendations adopted without relying on hierarchical control.
One of the core approaches Yan describes is showing stakeholders the data directly, rather than simply presenting conclusions. This is paired with the Socratic method, where asking guided questions helps others arrive at the desired insight on their own. He also stresses the importance of earning trust over time, built through consistent credibility, small wins, and demonstrating that you understand the business context.
The overall message is that influence in data science is less about technical brilliance and more about relationship-building, communication, and showing value in a way that resonates with decision-makers. Since there is only one source, the article presents a single, coherent viewpoint with no conflicting perspectives.