Data Science applicants have rated the interview process at Apple with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 73.7% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. I interviewed at Apple (Cupertino, CA) in Apr 2019
Interview
I went through 3 phone interviews before I was invited for an on-site interview. The first interview was a 30 minute phone call with the hiring manager. He asked about my past experience and basic data science questions. The next call was with a data scientist on the team who asked me to code in python. The third call was with a senior data scientist that asked basic machine learning questions. The on-site interview was a whole day ordeal. I got there at 10:30 am and left at 4:30 pm. There were several 30-minute meetings with data scientists, machine learning engineers, managers, etc.
Interview questions [1]
Question 1
What is Variance and Bias?
How do you decide whether one classification algorithm is better than the other?
What is a naive bayes classifier?
Describe neural network
Draw a confusion matrix and calculate precision and recall
Coding questions included binary tree implementation and computing ngrams in python.
I interviewed with recuirter and asked general questions reagrding why this coopnay and role, tell me about yourself and how do you connect with apple, it was easy and stright forward
Interview questions [1]
Question 1
tell me about yourself and why are you looking for a new job
First Round: 2 questions on SQL (hard) and Scenario based question was given. You have to provide a detailed answer on what kind of framework you would build on the scenario.
The interview process for the Data Scientist role at Apple consisted of three rounds
First round: screen with a recruiter
Second round: screen with a hiring manager
Third round: a virtual on-site with 3 interviews