I'd guess that historically the Mathematical Optimization department has comprised "legacy" operations research people (spreadsheet modeling and decision analysis, linear and nonlinear modeling with AMPL-type tools, SAS statistics, etc) and the Data Science group is newer and more software-ish.

Am I right?