Those data scientists strong in statistics are likely to
"develop new statistical theories for big data, that even traditional statisticians are not aware of. They are expert in statistical modeling, experimental design, sampling, clustering, data reduction, confidence intervals, testing, modeling, predictive modeling and other related techniques."A quote that particularly jumped out at me:
"Just like there are a few categories of statisticians (biostatisticians, statisticians, econometricians, operations research specialists, actuaries) or business analysts (marketing-oriented, product-oriented, finance-oriented, etc.) we have different categories of data scientists."I was once ranting to a CS a colleague of mine, "data science is a thing, but 'data scientist' is not." The justification being that we are a collection of (in no particular order) software engineers, statisticians, mathematicians, economists, etc.. He quickly pointed out to me that those who may have referred to themselves as computer scientists around the middle of the 20th century were likely scoffed at as they were really collections of logicians, mathematicians, electrical engineers, and so on.
Another reminder to never assume things will stay the way they are.