According to him:
Not only is Data Science not a science, it’s not even a good job prospect.
You will be subjected to the data equivalent of dumpster diving. But surfacing insight from a rotting pile of enterprise data is a ghastly process—at best. Sure, you might find the data equivalent of a flat-screen television, but you’ll need to clean off the rotting banana peels. If you’re lucky you can take it home, and oh man, it works! Despite that unappetizing prospect, companies continue to burn millions of dollars to collect and gamely pick through the data under respective roofs. What’s the time-to-value of the average “Big Data” project? How about “Never”?
Here is what someone in is Slashdot said:
All this means is that you will spend countless hours trying to connect to the client legacy stuff and then countless hours trying to get the data out (without impacting production systems!), so you can then spend countless hours formatting this data around to be able to spend countless hours trying to get this data into your Big Data(tm) solution so you can finally run some algorithms and create results. Now multiply all that by the number of different kinds of databases the client has and you get the idea.
As an IT professional you really do not want to work in this field. No organization keep its data in a clean uniform way, data scientist is like an IT janitor.
The links below has more details:
http://slashdot.org/topic/bi/data-science-is-dead/
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