Theory vs Practice of Data Science

  After a long time of practicing what we called 'analytics',  I  have just, for the first time taken an engagement that includes the term 'data scientist'.  So what is the difference between theory and practice?  Nice piece out of a recent conference makes the case with some reasonable but flexible descriptions.  Also some thoughtful supporting graphics.