Metadata
- URL:: https://roundup.getdbt.com/p/the-one-where-i-take-issue-with-the
- Author:: Tristan Handy
- Publisher:: The Analytics Engineering Roundup
- Published Date:: 2022-12-04
- Tags::
Highlights
Most businesses don’t hire scientists…scientists typically appear so far up the value chain that they need to be supported by other funding streams (government / university) whereas companies employee engineers…professionals who take well-understood scientific principles and apply them towards doing things.
- Note: Data Scientists don’t do science Down With Data Science
Creating a great churn model for your subscription business can be called applied science, but we typically call “applied scientists” engineers or doctors or statisticians (etc). Building a great churn model is, I would suggest, analytics, regardless of the specific methods employed. Analytics is a hybrid of statistics and engineering…it is an applied science. Calling a data analyst a data scientist is like calling a civil engineer a “bridge scientist”. This moniker does not help anyone.