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The Amazon Data Science Interview 

Jay Feng
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The Amazon data science interview guide, interview questions, and overall process!
👉 Subscribe to my data science channel: bit.ly/2xYkyUM
🔥 Get 10% off your next data science interview prep: www.interviewquery.com/pricin...
❓ Check out our data science interview course: www.interviewquery.com/course...
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🐦 Follow us on Twitter: / interview_query
In this video I go over what you need to know before your interview at Amazon for the data science position. If anyone has any questions, please add them in the comments section.
More from Jay:
Follow me on Twitter: / datasciencejay
Follow me on LinkedIn: / jay-feng-ab66b049
Read More:
Amazon in-depth guide: towardsdatascience.com/the-am...
Amazon machine learning interview: www.interviewquery.com/blog-a...
More on leadership principles: www.interviewquery.com/blog-a...

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4 июн 2020

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Комментарии : 22   
@iqjayfeng
@iqjayfeng 3 года назад
If you're interested in trying an Amazon interview question.... www.interviewquery.com/questions/encoding-categorical-features
@KrishnaChaitanyakosaraju
@KrishnaChaitanyakosaraju 2 года назад
Paid!
@rajm3496
@rajm3496 4 года назад
Your channel is already better than some of the top ones in youtube on the same topics
@mocoebabymom
@mocoebabymom 4 года назад
wow. your vid actually gives valuable information not like those who would just show the audience all the fancy lives they are living and not actually giving you anything
@badhuz3059
@badhuz3059 4 года назад
Those leadership principle questions that is notorious from Amazon! Amen brother, lol! Very comprehensive of the interview, btw!
@asaphakeim3614
@asaphakeim3614 4 года назад
Awesome content!
@easybeeee
@easybeeee 2 года назад
Thanks for the great insight! Quick note that the applied scientist role at amazon is considered to be highly technical in my experience. In terms of scientific rigor, i would frame the roles as ds
@samirfarid5539
@samirfarid5539 4 года назад
Great video
@vignanreddy3491
@vignanreddy3491 4 года назад
Great!
@chaitanyamudike2308
@chaitanyamudike2308 3 года назад
Hello Jay.. Your videos (Preparing for Interviews and solving sql questions) have been very helpful and I really appreciate all the insight you are providing. Just one question, Do you have anything specifics around what kind of questions can we expect with a Data Science Manager when applying for a Sr BI Engineer role at one of these top companies.
@Mackymon
@Mackymon 3 года назад
great video! I'm wondering if you have thoughts about what an "average" data science interview looks like? what if we don't exactly have FAANG dreams but would still love to enter the data science space?
@moderncollectionkalyan3280
@moderncollectionkalyan3280 3 года назад
Can you please add English subtitles. It showing us Korean. I am not getting it.
@minhminhh3011
@minhminhh3011 3 года назад
Im interested in getting interviewquery subscription but Im wondering if the non coding question also has solution? since I want to improve in product sense too not only the coding part
@ledzeppelin4892000
@ledzeppelin4892000 3 года назад
What if you have almost no project experience. How can I remedy that?
@jamesbonding3988
@jamesbonding3988 4 года назад
what is your surname Jay ? I think i met you before
@username42
@username42 3 года назад
he is gonna be the one of the millioner subs youtuber sooner
@sakshamkumarsharma2309
@sakshamkumarsharma2309 3 года назад
sir are data structures and algorithm asked in data scientist jobs in FAANG?
@aasthajha2651
@aasthajha2651 3 года назад
I am not able to access the link. It says Error 502 Bad Gateway Error
@iqjayfeng
@iqjayfeng 3 года назад
Sorry we had our site down! Should be back up
@glaswasser
@glaswasser 3 года назад
Why are the subtitles in Korean lol
@AlirezaAminian
@AlirezaAminian 11 месяцев назад
The main focus in this video is leadership and behavioral questions. However, I had a data scientist interview with Amazon and they did not ask any behavioral questions at all. Actually, there are no on-site interview what so ever. The content of this video is extremely outdated.
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