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Had an HR round and then a technical round where we talked about projects and then a case study. The issue is that the case study is a tough problem that they are dealing with; that is, something they have a whole team dedicated to and have been thinking about for months to years. Yet you are supposed to solve it in just a few minutes! So it really is not a fair assessment but that's how all tech interviews are today. One thing was the interviewer kept interrupting and didn't let me finish so I just figured he was trying to drive me toward to a set of exploratory questions on the case study. I did answer every question but got turned down.
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Data Science Manager - Machine Learning

Interviewed at Wayfair

3.1★
Nov 4, 2019

Had an HR round and then a technical round where we talked about projects and then a case study. The issue is that the case study is a tough problem that they are dealing with; that is, something they have a whole team dedicated to and have been thinking about for months to years. Yet you are supposed to solve it in just a few minutes! So it really is not a fair assessment but that's how all tech interviews are today. One thing was the interviewer kept interrupting and didn't let me finish so I just figured he was trying to drive me toward to a set of exploratory questions on the case study. I did answer every question but got turned down.

It was a long test with very less time for answering the questions. Answers should be right on top your head. One of the Speed Coding question was to find the minimum amount of power that Gandalf should carry so that when he fights with many minions and reaches the boss, he should at least have power = 1.
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Machine Learning Engineer

Interviewed at Wayfair

3.1★
Mar 8, 2019

It was a long test with very less time for answering the questions. Answers should be right on top your head. One of the Speed Coding question was to find the minimum amount of power that Gandalf should carry so that when he fights with many minions and reaches the boss, he should at least have power = 1.

take home data science homework is free form, you are given a pipeline with a bunch of classifiers that'll predict whether a user is retained or not based on swiping activity, you're told to add whatever you want to the pipeline to showcase your skills the tools are the traditional sklearn/numpy/matplotlib etc and the algos involved are regression/xbgoost/other voting algos
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Machine Learning Engineer

Interviewed at Hinge

3.4★
Apr 22, 2020

take home data science homework is free form, you are given a pipeline with a bunch of classifiers that'll predict whether a user is retained or not based on swiping activity, you're told to add whatever you want to the pipeline to showcase your skills the tools are the traditional sklearn/numpy/matplotlib etc and the algos involved are regression/xbgoost/other voting algos

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