THREAD: Biostatistician vs. data scientist? Please vote in comments: (A) All biostatisticians are data scientists, but not all data scientists are biostatisticians. (B) All data scientists are biostatisticians, but not all biostatisticians are data scientists. (1/n)

(C) Most data scientists (but not all) are biostatisticians, and most biostatisticians are not data scientists. (D) Most biostatisticians (but not all) are data scientists, and most data scientists are not biostatisticians. (E) Data scientist = Biostatistician. (2/n)

A few years ago, I learned (at an ASA meeting) that a data scientist has skills in 3 areas: probability/statistics, computer science, in-depth knowledge of application area (e.g., oncology, environmental science, sports). Is this the commonly assumed definition? (3/n)

How much computer science counts? I can code in R...is that enough to call myself a data scientist? How much probability theory or stats methods knowledge is needed to for a data scientist to also be considered a biostatistician? (4/n)

Biostatisticians have training in experimental design and epidemiology. This is not necessarily true for data scientists--I see this as a major distinction in skill sets! (5/n)

I thought my vote was for A before I start writing this thread, but now....I'm not sure. Maybe it's D? (6/n)

(I was inspired to ask this after hearing someone who is a self-declared data scientist with no stats qualifications referred to as a biostatistician.) (n/n)