"Danger Zone, Lana!" I would add business communications to the diagram for data scientists working in the corporate world. After transitioning from academic stuff to corporate clients, I noticed I needed to spend more and more time crafting my presentation and inquiry skills. Many times clients don't even know what kind of potential value they may have in their in-house data. They'll then neglect to mention something very valuable, like some data or a difficult problem well suited to data-oriented solutions, because they either consider unimportant or haven't considered it at all. Learning their language allows really opens up to potential of even basic DS/ML techniques.
The authors of that book also highlight the importance of communication for data scientists. It's not just your company-client communication that matters. Speaking from experience, I think interdisciplinary communication within a company is just as important if not more. There's an ignorance of what data can actually reveal in business. How many business actually use business intelligence tools? A while ago I talked to someone from one of the biggest ISPs in the country. They have 15,000 employees, yet only one person was looking into doing serious BI / geodata analysis.
We use BI Reporting as workarounds to our actual reporting systems not doing what we want them to do. It's a bit mind boggling.