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Amazon data science interview questions

mldatageek.herokuapp.com

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Re: Amazon data science interview questions

#2
I'm sorry if I'm ignorant of the platform, are the different posts the interview questions? Also what am I to make of the platform itself? Is this an app hosted on heroku I can access later on my phone? If that's the case that would be awesome, like a targeted stackoverflow.

Re: Amazon data science interview questions

#5
Can't say I could answer all these questions, but I think they're really great and motivate me to spend more time studying statistics. With the rise in data science and machine learning I've noticed a lot of resources devoted to teaching people how to create and train models for a given problem, but less resources on how to interpret those models and on statistical inference in general.

Re: Amazon data science interview questions

#7
It appears that the current generation of "hackers" seems very keen to work for a big name company-- Amazon, Apple, Microsoft, Google, Facebook. As someone who has worked for many startups and several of the above named companies, please let me give you a bit of advice:

- A big company on your resume has no outside value to your prospects.

Seriously. There's not "hey well he worked for amazon so we know he's good" free pass in the future for having Amazon on your resume.

There might be a "well, she wasted 3 years at amazon and we all know that's a hellhole so we can get away with abusing her" signal though. (Amazon is a hellhole, I spent 2 years there, in retrospect I would have been better off walking the day it became clear they were using cult methodology.[1])

It took me many years to find my calling. Once I did then my career direction was set. I'll only be working for companies in this industry going forward, because it really is my calling.

Take a job that maximizes your creativity and ability to contribute.

Don't chase big money or big names. The two almost never go together, anyway.

[1] Magical Phrases are a key indicator of cult methodology. Also known as "thought terminating cliches" they are multi-purpose sayings that are used to invoke company ideology and shut down dissent. At amazon there are things like "It's day one!" and the like. Every time I've seen these cult signals at a company it turned out to be a toxic work environment.

A good question to ask in interviews is if they company has any slogans all the employees know.

Re: Amazon data science interview questions

#8

It appears that the current generation of "hackers" seems very keen to work for a big name company-- Amazon, Apple, Microsoft, Google, Facebook. As someone who has worked for many startups and several of the above named companies, please let me give you a bit of advice: - A big company on your resume has no outside value to your prospects. Seriously. There's not "hey well he worked for amazon so we know he's good" fr…

Let me ask you this, have you worked at any of those large companies?

Re: Amazon data science interview questions

#9

It appears that the current generation of "hackers" seems very keen to work for a big name company-- Amazon, Apple, Microsoft, Google, Facebook. As someone who has worked for many startups and several of the above named companies, please let me give you a bit of advice: - A big company on your resume has no outside value to your prospects. Seriously. There's not "hey well he worked for amazon so we know he's good" fr…

If it isn't too identifying/personal, then what did you find your calling to be?

Re: Amazon data science interview questions

#10

It appears that the current generation of "hackers" seems very keen to work for a big name company-- Amazon, Apple, Microsoft, Google, Facebook. As someone who has worked for many startups and several of the above named companies, please let me give you a bit of advice: - A big company on your resume has no outside value to your prospects. Seriously. There's not "hey well he worked for amazon so we know he's good" fr…

interesting.. I have worked both for startups and large companies. There are tradeoffs to both of course but my favorite so far is the large company I am at. I get to do things at a scale that doesn't exist at startups.
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