My perception is that the Data Science degrees have been largely influenced by input from corporations that want to hire these professionals. Therefore the degree has the real world aspect that would certainly make it worthwhile and valuable.
As it relates to compensation, I would caution anyone about making your hiring strategy around money alone. There will always be another firm out there that will be willing to outbid you and throw more money at a candidate. Money is important but surveys tell us that company culture, an environment of innovation, work/life balance, empowerment to make decisions, etc. are very important workplace considerations. You may not offer the most money, but you may offer an environment that would help tilt the odds in your favor
Are Master level Data Science degree programs (still quite new) creating the right kind of candidates for these positions? OR are traditional Ph.D. math programs doing a better job preparing candidates?
Great question on natural curiosity and problem solving and how to uncover a candidates proficiency. Start with asking behavioral questions. "Tell me about a time when you were faced with a difficult or unique problem and how you approached solving that problem. What was your solution and the outcome?" for example
Thanks everyone. It is very difficult to find the best analytical professional. The number of qualified analytics pro's is not sufficient to meet the market demand. I would say its probably the most challenging recruiting area right now.
Thanks great program! I think as an analytics professional seeking opportunities, an ESSENTIAL pitch would be to explain a functional and user friendly data architecture. I made a mistake of going somewhere with an inexplicably poor data architecture and have suffered enough from it.
One thing I worry about is the idea of "analytics talent" as a separate job role. Shouldn't everyone in an enterprise be an analytic talent at this point? How do we build analytics skills into an enterprise?
I'm going ot have to step out briefly for a phone call in the middle of it, but I'm goign to catch as much of it as I can. And I'll catch the rest on the archive. Looking forward to chatting with you, too.