I wouldn't describe the role of a data scientist as voided and neither would I say that the underlying role is vacuous.
I think we are violently agreeing over the differences between Canned Reporting and Machine Learning.

I don't agree that the discriminator between a Data Scientist and a Statistician is that the former has domain experience.  I would put the discriminator as being imagination and curiosity leading to proactive application of skills.  It's the difference between being able to answer a question someone asks you and being able to answer a question that you are one of the few who would think to ask.

I think learning about data science won't make you a data scientist but it will give you insight on how you can help turbo-charge your imaginative statistician.