Modern technology: what do you think are the downsides of being a data scientist?

I don't think there will be downside for being a data scientist, as DATA is the basic requirement for any task and therefore data scientists will always be in demand as long as there are good in their technical skills and upgrading themselves to the lates releases of the products they are working into. Thanks.

I've worked now in design, engineering and data science. I honestly love all three, arguably data the most, but I've gravitated towards design for the following reason.With design, the feedback is usually instant -- whether you're mucking around with CSS in chrome inspector, sketching with pencil on paper or drawing boxes in Sketch or Photoshop. In all of those cases, you have an almost-immediate connection to your work. You think of something, you pick up a tool, and you immediately see the effect.In engineering, it's not as good but not so bad either. It depends on your toolbox. There's a lot you can do instantly, using an interactive shell or debugger. But then you have to write larger blocks of code, or worse, your work involves refreshing a web browser.There's now about 5 seconds between you putting your idea down in code and seeing if it works. This is actually a big deal, because it massively reduces your ability to play around,make small changes and see their effects.

Being a data scientist, working with big data is a beginner statistician’s dream and a senior- or even middle-level analyst’s path to further career development.