@Ariella: I feel like calling it "data artist" would only further bolster the ideas analytics doubters have about the objective power of data -- and that relying on data and analytics is no better than their own intuition.
@MLMcAnnally: I'm not aware of any that aren't based on just a handful of self-selected survey responses. However, getting that kind of data is one of the reasons I created my placement tool/service: analystfinder dot com.
Going by Linekd in post - there seems to be a lot of posting out there for analytics and daat science profesionals. Last year at teh INFORMS analytics conference, someone form IBM and Linked In showed about 35,000+ open positions. beyond taht I do not know of other studeis. Any one wlsehas thsoughts on it?
What's in aname - do you know chilean bass real name is Patagonia Toothfish! Sometimes it seems we ahve to come up with new name to make thinsg look sexy! IMHO the re is not much diffeernce (if any bewteen the two) - at its core both are trying to solve problesm with the best data/tool/technologies that they have. Perhaos daat scientists may need more deeper training on philosophy of scientific enquiry .
Question for all:Other than the McKinsey white paper, are there data on employer demand and student outcomes? We would be interested in learning about demand by industry, geographical location, salary metrics, for entry level analytics jobs.
This discussion has me curious about the data and analytics on the success of data science students with varying backgrounds (no business experience versus a couple of years of business experience, certain bachelor degrees versus other bachelor degrees, etc.)
Q for Goutam: An 18-year-old tells you s/he is considering going into data science. What do you ask or say to that young person to 1) determine if data science is a good field to him/her and/or 2) encourage and/or inspire that young person?