I work at a YC company that has a evolved an interesting internal Slack group of data scientists. It’s a private group, but recently it got some attention on Twitter and we figured it might help aspiring data scientists if we published a few of the conversations we’ve been having on there. Twitter agreed, so that’s what I’m going to do today.
The first conversation I’m going to post started with a question that one of our Fellows asked the community: What’s the hardest question you’ve been asked in a data science interview?
(I’ve changed the asker’s name below, but a few of the participants kindly agreed to share their full names and links to their online profiles.)
What’s the most difficult question you ever encountered in a data science interview?
I’ll share mine: “How many years of experience do you have in language X?” This is really hard to answer: Do I count the years I used it in academia? Do I count the years I used it in my hobby projects? Do I count the years when I used it at my job, but just during 15% of my time?
I once decided to answer this question by asking the interviewer, “Can you please elaborate?” I think the interviewer thought I was crazy.
Hoping to hear your most difficult questions and maybe we can share pointers on how to answer them!
Ray Phan’s answer:
Here’s mine: “If you had to pick one technical problem that was the most difficult for you, explain what it is and how did you approach solving it?”
The reason why this is deceivingly difficult is that it opens you up to questions as you go. They can decide how far or how deep they want to investigate each and every part of your approach. In fact, this is one question I ask all the time when I interview someone. You can quickly determine whether someone really knows how to solve the problem, or if they rode on someone else’s coattails.
Interestingly, this is the only question Elon Musk asks during interviews. (Source: He personally interviewed me when I was applying to Tesla’s Autopilot Program.)
Thanks for sharing! With this question, are you testing a candidate’s problem-solving approach or their depth of understanding of technical concepts or a mixture of both?
Mixture of both.
By the way they answer my follow-up questions as well as the level of detail they share with me with regards to how they solve it, it gives me a pretty good idea on whether they’re someone who can work independently, can work in a group (as they’re explaining the concepts to me and I dig further) and whether I would trust that person at the end of the day.
My problem right now would be: I could tell you about what truly was the hardest problem that I ever faced, but then I would have to admit that I did poorly at the time. Really poorly. I realize this is a potential place for me to show growth, but I would ultimately first have to admit that I initially fell flat on my face.
I would want you to admit that to me and tell me why. Growth is also something I look for and if you didn’t learn anything from that, then I wouldn’t hire you — and if the conversation is cut short, I’d jump to the second problem!
Fair. Thank you! I certainly need to practice these sort of interview questions.
Part of my mentorship that I do with my mentees is exactly this line of questioning. I usually split it up into 4 sets of interviews to make sure the mentee is prepared.
(2) Technical fit ← The question I mentioned above goes here
(3) Business Acumen
(4) Culture Fit
What I try to do is ask questions they wouldn’t be expecting — which is also why I stress to them to not prepare for my mock interview sessions.
But yes, practice! Your mentor will hopefully do the things I just said.
It’s also interesting that this is the only question that Elon Musk asks during his interviews. That’s something I didn’t know about.
I’m thinking about posting more of these Slack conversations in the future. So if you’re interested in seeing the other answers in this conversation (or in seeing others ones), hit me up on Twitter and let me know. My DMs are open if you have any questions.
“The hardest question you’ve been asked in a data science interview”– Edouard Harris Tweet