5 Tips for a Successful Data Science Interview

In this video of 5 tips for a successful data science interview, I’ve teamed up with a couple of data scientists from the YouTube community who have years of experience in various roles like data analyst, data scientist, data engineer and so have gone through their share of interviews. We’ll be covering tips on topics covered during Data Science interviews - coding, modeling, stats, machine learning, product sense, and behavioral questions. So, the goal is to give you tips on how to successfully prepare for these topics.

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Timeline:

Intro: (0:00​​​)
Tip #1 on Coding Questions: (1:22​​​)
Tip #2 on Product Questions: (6:24​​​)
Tip #3 on Behavioral Questions: (10:28​​​)
Tip #4 on Machine Learning, Stats, and Modeling Questions: (13:32​​​)
Tip #5: (16:19​​​)
Conclusion: (19:36​​​)
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Contact:

If you have any questions, comments, or feedback, please leave them here!
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#DataScienceInterviewTips #DataScienceInterviewTopics

[TinaHuang]

Yay!!! Awesome video - loved the collab ❤️

[SeattleDataGuy]

Thanks for setting this up Nate! It was great to be part of this interview prep video!

[strategy_gal]

I love how you've broken down each of these tips in this video. It's absolutely brilliant! I'm sure it's super helpful to those who are preparing for their DS interviews!🙌

[ruima]

Thanks Nate and all collaborators. These tips are clear and helpful.

[LukeBarousse]

Thanks Nate! This was so much fun to collab on!!!

[takijeden]

A two week ago I interviewed for a data scientist intern position (and got a paid internship ;> ). I was immersed in DS and ML for the previous 3-4 months. While learning, I focused most on regression and classification problems. I didn't have any end-to-end project, but I could still talk about the algorithms I used and the problems I faced and that was the most important thing that helped me pass the recruitment (as confirmed by the interviewer).

[vivianamarquez]

I really love this video, is a complete guide. I'm a new subscriber!! And the subtitles are the cherry on top. 😄

[theghostwhowalk]

Your series is amazing! Keep great videos coming :)

[candidlyvivian]

Hi Nate (and everyone else involved!) Loved this video, so informative and can’t wait to see more! a fellow data scientist and small YouTuber here 😊

[arunvaibhav]

Videos are helpful, but please increase the volume :) Thanks!

[rrdevyt]

How would you compare internship level interviews and full-time position interviews? Should interns focus more on specific skillsets? I've got internship interviews at Facebook coming next month and I'm trying to figure the best way to divide my time. I'm confident in SQL and the technical side, but my product sense and stats are not as strong.

[AH-usnw]

Where is the Long-term preparation plan (mentioned by Ben) located ?

[oneminutedaily]

May I know how do I prepare well for Product Questions (product management)? Are there any more links/guides on this ?

Appreciate it ! :)

[hruthikkcchand]

Hi sir, is there a chance for people from non-tech field fetch a job as a data scientist? It will be very helpful if you can give few tips about this issue...

[learnenglishwithdania]

Perfect Thanks 😊
I actually I'm studying data engineer and I have final project and I need someone help me I will be thankful 🙏