Senior Data Scientist applicants have rated the interview process at Apple with 3.6 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 60% positive. To compare, the company-average is 64% positive. This is according to Glassdoor user ratings.
Candidates applying for Senior Data Scientist roles take an average of 5 days to get hired, when considering 10 user submitted interviews for this role. To compare, the hiring process at Apple overall takes an average of 29 days.
Common stages of the interview process at Apple as a Senior Data Scientist according to 10 Glassdoor interviews include:
Phone interview: 30%
One on one interview: 20%
Skills test: 15%
Presentation: 10%
Group panel interview: 10%
Background check: 10%
Other: 5%
Here are the most commonly searched roles for interview reports -
Step 1: Coding in python. Knowledge of data structures.
Step 2: 4 Panel interviews with presentation.
SQL round, Statistic round, ML deployment and general methods and lastly culture fit.
Sql consist of 4 questions.
Starts with recruiter screen and asked about last projects I worked in my previous company.
Later met with the director and it was behavioral followed by 6 rounds on the onsite interview.
I applied through an employee referral. I interviewed at Apple
Interview
4 interview for the onsite.
1 Data Science, 1 system design, 1 coding and 1 behavioral.
Nice interviewers but never heard back from them again.
The role felt like a mix of Data Engineering and Data Science.
I applied through a staffing agency. The process took 1 week. I interviewed at Apple (Seattle, WA) in Apr 2024
Interview
Context - contract position specifically for a new project on llm.
Applied through a consulting company.
Initial phone interview with consulting company and resume screening. Then had a video interview with Apple (1:1)
Got an email for interview results
Interview questions [1]
Question 1
• Questions about past projects on my resume; specific to the topic of interest (llm)
• Case study for a hypothetical scenario and discussion on how would you implement llm, evaluate llm etc.