Have you read through the comment thread? Did you read the article? Most everyone is in agreement that projects require a lot of cleaning & wrangling and a lot more -- the point is that data scientists are generally not doing that stuff, they expect academic-quality, pre-processed, pristine data, so it's data engineers who are stuck preparing the data, and who are in high demand.
I meant a data science project in terms of a project completed by data scientists. In my experience, all data scientists are accustomed to doing extensive cleaning etc.
I think you've been working with conmen/conwomen. I've never seen a data science project that doesn't involve data cleaning or wrangling of some sort.