i think many mis-read warald's post ..........|
the data science discipline is new in academia, there is no phd in DS as of today (9/2014)
in industry, when managers hire data scientists, the general pool would typically be MS or PhD from any of the following fields
cs, ee, or related, like SE, CE, MIS etc, ML,
math, applied math,
based on resume alone, a MS in DS/analytics would be considered equivalent as MS in stat or sth (not equivalent to MS to CS, when it comes to more dev like positions)
both MS and PhD can find jobs as data scientists, this is not a problem.
but a typical fresh MS and a typical fresh PhD do not generally compete for the same kind of positions
some ds jobs are more like data engineers (a typical PhD in, say, biostat would be ill suited for this kind of position unless he/she took several courses in cs)
some ds jobs are basically researchers (a typical fresh MS in CS, who can 刷题 but have no signif research experience, would not be as competitive as a fresh PhD in ML or Stat, say)
some ds are just BI analysts, for this kind, PhDs may think the pay or level is too low, but is open to MS in all quantitative fields.
these are extremes, many jobs fall between....