## Metadata * URL:: https://roundup.getdbt.com/p/the-one-where-i-take-issue-with-the * Author:: [[tristan-handy|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|Down With Data Science]] > Creating a great churn model for your subscription business can be called [applied science](https://en.wikipedia.org/wiki/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.