Data Science Interview: What Should You Ask🙋?

In my MLnotes newsletter I’ve been sharing data science interview challenges (e.g., Here and Here and Here.) where I compile questions I’ve asked in my interview process or those I’ve encountered myself.

I hope you are having fun practicing with me! Today, we’ll try something different.

Recently I’ve been actively interviewing candidates for one of my ML teams. A hiring manager’s typical post-interview process includes: clean up the notes taken during the interview, summarize pros and cons of the candidate, and submit a final recommendation to the HR system.

In retrospect, I realized that I had never seen any hiring managers sharing their experience or thought process. It is simply an administrative task. But there are so many things that went on in my mind during and after the interviews! Let me share some of them here:

Interviewers are intimidating!

Especially when you google their background and realize you are talking with a rocket scientist? 😵

Don’t! An interview is a two-way street. It’s not just about them liking you, it’s also about you liking them! You may think that the interviewers have the upper hand, but in reality, sometimes I could feel pretty intimidated before talking with a candidate too! Last week I…