[christopheraden]

Definitely agree.

Part of the problem is that data science doesn't have nearly the same formalism in its definition that statistics does. What's the difference between BI's, Data Miners, Data Analysts, Data Scientists, etc? The tools used to arrive at conclusions (R vs. Python vs. SAS vs. Tableau/Excel/SPSS) doesn't seem like a good way of differentiating the roles.

A more useful discriminator would be the application of statistics (BI vs. Biostatistician, for instance), the depth and complexity of the statistical algorithms used, and whether the main use is stat inference or prediction (machine learning doesn't seem to focus on inference a whole lot, for example).