I have my Data Scientist L5 interview next week. Any tips on cracking the interview with links online resources will be very helpful. Thank you all! Update: Thank you all for the tips. The interview was focused on ML questions and SQL. I thought that I did well in the interview. But today, I got a reply from the recruiter that they are not moving forward with me. I am still looking for a job, I really appreciate if anyone can refer me. Thanks! #datascience #interview
Their SQL (most likely they don't askPython/R coding) and ML questions are pretty same like other interviews & regular industry standard. You need to focus on LPs which is holy book to Amazon :) I am assuming you are talking about onsite
What is LP?
Leetcode problems?
Remove job detail. You’ve said too much. Make this post generic.
I just have the role and team name. Not sure how to generalize it.
Team name- I’d remove.
Definitely know the difference between an integer and a cloud.
This is a good joke. I’m taking this joke
F*** yea. Spread it.
like other people said. some details: https://mlengineer.io/tagged/amazon
Thank you for the link. There are a lot of tips over there.
Def brush up on Ml basics like regularization, dimensionality reduction, precision/ recall , bias variance. Have case studies ready for leadership principles. Brush up on python/ sql Data manipulation.
Thanks. I am focusing on LPs now. I will brush up the ML concepts too.
Pray the hiring manager is... good luck.
Ask how they model pip 😂
Focus on the Leadership Principles, and prepare an example or two for every point. AWS team is a very nice team. It is not the best but don’t be afraid. Focus on the SQL/Database/Python/ML main concepts
You will spend ~4 hrs on LP and 2 on actual technical details. Prepare accordingly. I would def have 2-3 stories for each LP. It is ok for some to overlap a couple principles so you can pick and choose.
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Sharing job Id here is not best idea imo