Statisticians and mathemaicians are worrying about losing their power in analyzing data. Espicially in recent days researchers from various fields tend to define themselves as data scientists. A common theme is: all these other people are doing our job.

However, I think data science is an exciting field mainly because we can collaborate with people who has different backgrounds. If we narrow statistics and mathematics as its own diciplines. Then we are in big trouble. A field with bright future must consist efforts from various experts.

None of us can realistically cover the whole field, and so we specialize on certain problems and techniques. It is unrealistic to think that a scientist must know everything, and it is just as crazy to think a data scientist should be an expert in statistics, mathematics, computing, programming, the application discipline, etc. Instead, we need teams of data scientists with different skills, with each being aware of the boundary of their expertise, and who to call in for help when required.