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:
====================
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

[@cl0w601]

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!

[@emma_ding]

Hi Clow! Congratulations! I'm glad you find my content helpful and best of luck with your new job! :)

[@arunima29]

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

[@mattRRgraham1996]

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!

[@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."

[@Ayy12366]

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

[@harryx.3250]

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

[@emma_ding]

If you prefer to read rather than watch this video, check out the blog post I wrote on this, and other, topics here ➡ www.emmading.com/resources

[@davidzhong]

Great!!!!!!

[@aok1425]

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.

[@dvo66]

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

[@emma_ding]

Hi dv! That's awesome, congratulations! Best of luck with your new job! :)

[@diniaadil6154]

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 !

[@abhishekpawar921]

+1

[@emma_ding]

Hi Dinia, I totally agree! Great content suggestion, stay tuned! :)