It would be great if “heavy quants” also knew about business problems, and were fantastic tellers of analytical stories as well, but acquiring deep quantitative skills tends to force out other types of training and experience.

When we think about the types of people who make analytics and big data work, we typically think of highly quantitative or computational folks with hard knowledge and skills. You know the usual suspects: data scientists who can make Hadoop jump through hoops, statisticians who dream in SAS or R, data wizards who can extract two years of data from a medical device that normally dumps it after 20 minutes (a true request).

Source: dupress.com
Author: Tom Davenport