Amazon Data Scientist | October 2020
?
•Anonymous••Upvote
1
Downvote
Company: Amazon
Position: Data Scientist
Location: nan
Level: Mid-level
Outcome: Techncal Screen Rejected
How was the interview process? What was it like?
It was a weird situation, I was asked to prepare for a metrics & product sense interview and I got a theoretical ML interview with few practical aspects. The interviewer asked me intricate details about the algorithms. What is hinge loss in SVM? What is the slack variable? Why use quadratic function in MSE for linear regression instead of absolute value?
What technical questions were asked?
Modeling and ML Knowledge, ML Implementation/Engineering System Design, Python / Pandas, Business Case and Strategy, Product Metrics and Analytical, SQL / Analytics
What was one of your solutions?
Left Join: Joining a table on the left taking all of its records to a right table using a certain key, Inner Join: Joining a table on the left taking common records with the right table using a certain key
Amazon
Data Scientist
There's so much more to Interview Query
sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est
quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est