Data science interviews are daunting, complicated gauntlets for many. But despite the ways they’re evolving, the technical portion of the typical data science interview tends to be pretty predictable.
The questions most candidates face usually cover behavior, mathematics, statistics, coding, and scenarios. However they differ in their particulars, those questions may be easier to answer if you can identify which bucket each one falls into. Here’s a breakdown, and what you can do to prepare.
Author: Roger Huang