Why You Keep Failing Your Data Science Interviews

Behavioral Interviews Dos and Don'ts | | Behavior Interview | Data Science Interview

The 3 Dos are:
- Do your research
- Do emphasize impact
- Do show multiple attributes of yourself

The 3 Don’ts are:
- Don't be blameful
- Don't talk about work-life balance, perks, or compensation
- Don't ask offensive questions

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Contents of this video:
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00:00 Behavioral Interview Overview
00:48 What Is a Behavioral Interview
00:17 Questions about the Company
03:21 Questions about you
04:58 Emphasize Impact
06:40 Situational Questions
09:40 Don't be blameful
10:43 Don't talk about work-life balance, perks, or compensation
11:29 Don't ask offensive questions

[clw]

Emma, I just got an offer from my dream FAANG company, and I give all credits to your amazing videos. I watched every single one of your videos 5+ times, and they basically guided me throughout the process. I highly recommended your videos to all my friends! Thank you, and please keep up the great work you’re doing!

[CorerMaximus]

As a bit of a contrast to the last point- that's something I think you should absolutely ask a company that's in a high burn rate field like gaming. I'm currently working for Gamesight- and love the response my now manager gave me when I asked "The gaming field is notorious for a crunch culture; what does Gamesight do to change that?". His response- "I'll jump in the weeds with you if there's a big project, and if you ever need to work over time- I consider it a personal failure as a manager to have not been able to plan things out better."

[mattRRgraham]

Great channel. I love the content. Currently working as a statistician but looking to eventually transition into data science at my organization or another. I applied to about 30 data science jobs and didn't get any interviews, so this is a helpful video. Thanks!

[arunima]

This is awesome! The information is great, something everyone needs to know when preparing for an interview.

[Ayy]

Good videos! Thanks for sharing! Want to add on something here, I personally think it's ok to ask questions regarding challenges the team is facing, after they talked about the challenges (it could be about collaboration, communication, etc) I sometimes found those challenges is the fun part of the work and I usually give back response that those challenges are things that I enjoy and see opportunities for development in those challenges

[aok]

Related to the tip about not asking negative questions, I like to ask "What's one thing you like about working on your team/company, and what's one thing you don't like as much?" as a way to get some negative signal without being too negative.

[dvo]

Hi Emma, got an offer from a comapany I wanted to get into and what really helped me was "Emphasis Impact". Interviewer talked about the impact details i speak of. Thanks!
edit: It also helped me with my product sense round as I was able to link my answer to the impact i talked about earlier in the interview

[harryx.]

Emma I just found your channel and want to thank you for your great content! Thank you 感谢干货

[diniaadil]

Can you do a video about the non technical skills or complementary knowledge to focus on when applying for a Data Science job? Data Sciencist is such a versatile position, and obviously behavior, communication and soft skills are as important as the technical expertise, thank you for the video !