Ace Your Data Science Interviews: How to Deal with Different Types of Interviewers with Confidence!

[@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

[@GalaxyZhou1006]

just interviewed with an Alibaba team lead and he was a combination of cutting off often and always what do you think type. very difficult interview indeed. really appreciate your summary at this point, and I also want to add that for a lot of interviews, if they are directly with the hiring manager/team members, and you feel uncomfortable or not able to communicate smoothly through out the interview process, then I think it might be a sign/red flag that this team or role might not suit you anyways... I have had uncomfortable interviews then got and offer situation, I rejected all of them for this reason... I agree with your "don't blame yourself" and move on attitude :D

[@emma_ding]

This is a great point and thank you for the comment! Interview should be bi-directional that you also gets a sense whether the culture fits you. Follow your heart and be brave to say NO!

[@DataProfessor]

Thanks Emma for this amazing video and the amazing blog post on TDS. This is a truly unique topic that I rarely see on TDS or KZbin, great job!

[@emma_ding]

Thanks Data Professor!

[@CHIRAGPERLA]

This is a brilliant video to understand interviewers psychology and to expect the unexpected. Thanks for this Emma! Keep doing the good work 👍🏼

[@pranitak]

Stumbled on your channel and loving your content. This was very helpful and I realize now that one particular interview I did which I thought went really well but didn't convert was likely a case of the "seems nice" interviewer type. Oh well.

[@carterhuang9534]

Great summary of different types of interviewers. This is helpful to dealing with interviews outside data science as well.

[@シツコ焼肉]

It's a great viewpoint to consider different personality and style the interviewer holds and what they expect from a interview. This category is helpful when you prepare!

[@MrArijeet_]

Awesome content. I am sure this vid will help future aspirants like me!!

[@byronhan8961]

Thanks for the video! Can you talk about a specific example or we can do a mock interview while you record it? It makes more sense when you can critique an interview directly.

[@emma_ding]

Thanks for the feedback. I've thought about same idea, but when I tested it, the video turned out to be less structured as people have different levels of knowledge. Critiques useful to some one may not be helpful to others. So I thought providing a possible answer would be most efficient to help people get an idea how to approach the problem.

[@zhefeijin9627]

Thanks! The info is really helpful.

[@emma_ding]

Glad to hear it!

[@yidanhu7889]

Good video! Merry Christmas Emma!

[@emma_ding]

Thank you! You too!

[@cooltrucly]

Can you do a video about the probability/statistics portion of a data science interview?

[@emma_ding]

Sure. I'm working on it. Stay tuned!

[@sharonyang5354]

hey Emma, I wonder how would you think about this question. In t-test if p-value is lower than significant level, how would you explain it to PM? I am trying to explain t-test, p values, and significant level. still find it too complicated. thank you!

[@emma_ding]

P-value is a measure of whether our results are statistically valid. That is, with a sufficient p-value, we know that our results can’t be explained by something other than the feature changed specified in the A/B test. If p-value is lower than the significant level, it means that it's very unlikely the results are due to chance, so we can conclude the treatment is better than control and we recommend launch the change.

[@halflearned2190]

Very informative

[@sharonyang5354]

great video. Different angle to think about failure

[@emma_ding]

Glad you liked it! I wish I could have learned this before my first few data science interviews.

[@sharonyang5354]

@@emma_ding happy holiday

[@mikemihay]

Great video!

[@emma_ding]

Glad you enjoyed it!

[@slapfighting]

Hi Emma, Thank you so much for your videos, I have been following your blogs since last few weeks as I got laid off from my company due to pandemic and as a visa candidate I only have few more weeks left to maintain my status. I gave almost 6 interviews and I felt I performed well but I was rejected everywhere, I fail to understand why I was rejected and I am not able to understand the problem with me as I have'nt gotten any feedback from the interviewers, while as I have solved every coding, probability, SQL question. pls help

[@mussdroid]

So Cool , Merry Christmas

[@emma_ding]

Happy holidays!

[@mussdroid]

@@emma_ding Thank you so much , you are amazing

[@mahdimerced]

hi Emma. Merry Christmas

[@emma_ding]

Happy holidays!

[@kevinm9470]

is there any difference in technical interview process between data scientist position for intern/trainee and professional data scientist?

[@emma_ding]

In terms of questions, normally there aren't much different. Usually, the expectation for interns in lower.

[@kevinm9470]

@@emma_ding thank you for explanation!

[@brothermalcolm]

What about the type of interviewer who keeps asking clarification questions on insignificant details to your story?

[@emma_ding]

What would be an example of 'insignificant details'?

[@dreamlist_11]

Like Emma's outfit

[@zhefeijin9627]

I have a follow-up question. Could you give some suggestion on the onsite interview? Is there any specific strategy? Like how long I should prepare for it? How good is good? I feel that I basically know every part but not sure if I am good enough. For example, I think I am comfortable with the case questions, but do not know how should improve and which part should I improve. I am a new grad and going to have my first onsite nearly. Pretty nervous. Many thanks!

[@emma_ding]

That's a very good question. But it's hard to provide a general answer as people have different levels of expertise. If you need help to evaluate whether you are ready or not, you could reach me directly here data-interview-questions.web.app/. I'd happy to answer any questions or do a mock interview or for you :)

[@emmama1598]

i hope i could watch this video earlier