Amazon Applied Scientist Leetcode Interview
Same coding questions as an sde with additional 1-3 rounds of domain based interview ( robotics, ML, etc.)
More on reddit.comWhat is the LeetCode for DS?
LeetCode for Python questions, easy gets you past coding rounds at most companies, DataLemur for SQL interview prep, Cracking the PM Interview is good for product data science questions and more open-ended business-y DS case problems. For ML interview questions, just knowing the most important concepts + terminology from Intro to Statistical Learning is good (most interviews ask about classical techniques, so don't worry if you aren't a deep learning pro). Practical Stats is good for Prob/Stat conceptual questions (but doesn't exactly map to what interviews test... unfortunately at FAANG + Wall Street you will find the occasional probability brain teaser).
You can also check out the book "Ace the Data Science Interview" on Amazon, which is like "Cracking the Coding Interview" but for Data Science & ML interviews. It covers all the topics mentioned above, but I'm a tad biased since I wrote the book!
More on reddit.comNeed Advice: Applied scientist Interview at Amazon
Amazon Applied Scientist interview experience [offer accepted]
What is the interview process like for a Data Scientist at Amazon?
How long does it take to get hired as a Data Scientist at Amazon?
Is it hard to get hired as a Data Scientist at Amazon?
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Hello Peeps,
I have interview at Amazon for Applied Scientist role based in SD. Can someone send me list of Leetcode questions I should look into. I have heard basically they'll give question similar to SDE-1 level, I'm not sure. If someone can share the updated list that would be really helpful.
Same coding questions as an sde with additional 1-3 rounds of domain based interview ( robotics, ML, etc.)
Job description says it requires Masters plus 3 years of experience. So can someone tell me what level will it be? My friend said it's L4 after checking in the system, but even with this much experience will it be just L4?
Other than Kaggle
LeetCode for Python questions, easy gets you past coding rounds at most companies, DataLemur for SQL interview prep, Cracking the PM Interview is good for product data science questions and more open-ended business-y DS case problems. For ML interview questions, just knowing the most important concepts + terminology from Intro to Statistical Learning is good (most interviews ask about classical techniques, so don't worry if you aren't a deep learning pro). Practical Stats is good for Prob/Stat conceptual questions (but doesn't exactly map to what interviews test... unfortunately at FAANG + Wall Street you will find the occasional probability brain teaser).
You can also check out the book "Ace the Data Science Interview" on Amazon, which is like "Cracking the Coding Interview" but for Data Science & ML interviews. It covers all the topics mentioned above, but I'm a tad biased since I wrote the book!
Leetcode. Unfortunately.
Hey everyone
After clearing the phone screen round, I got a call regarding the Applied Scientist virtual onsite round at Amazon.
It will probably be a 5 hour onsite (details are yet to be discussed with the recruiter). This sub has extensive information about the leetcode style questions but I wanted to ask the MLEs, Applied Scientist and Data Scientists on this sub as to what to expect in the ML depth and breadth round and Business application round. And how to prepare for each of these rounds? If you could share your some resources that would be helpful.
Also below are my leetcode stats, from here on I will focus mainly on Amazon but any other suggestions are appreciated.