Difficulty
Average
Candidate-reported interview insights
Apple Data Scientist interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Scientist role at Apple.
4.1 rating Computer Hardware Development
Interview overview
Average rounds
2.8
Average duration
36.1 day average
Difficulty and candidate experience
Interview difficulty
easy11.7%
average63.8%
difficult24.5%
Candidate experience
neutral22.3%
positive52.1%
negative25.5%
Candidate-reported interview process
Take home assignment with LLM evaluation questions including submitting a Keynote as required, about a video based system and a search system built on LLM. They only gave three days to solve it.
3 stage process, HR interview, then an assessment, interview with hiring manager, interview and walk through of systems and problems with a few team members, also take home test and an in person test.
8 rounds of interview. The first few were technical and the last one is with the team itself and team leader. There were also some screening calls with human resource people.
Common Apple Data Scientist interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
What is the difference between random forest and xgboost?
Interview question formats
Technical33.5%
Behavioral29.4%
Coding12.9%
Other8.9%
Case8.5%
Ready to prepare for Apple?
Practice technical, system design, and behavioral questions with Zitlee.
Interview information is based on candidate reports and may not represent the current official hiring process of Apple.