Data Science applicants have rated the interview process at X with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 31% positive. To compare, the company-average is 39.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science roles take an average of 29 days to get hired, when considering 35 user submitted interviews for this role. To compare, the hiring process at X overall takes an average of 29 days.
Common stages of the interview process at X as a Data Science according to 35 Glassdoor interviews include:
Phone interview: 51%
Presentation: 19%
One on one interview: 16%
Group panel interview: 7%
Background check: 5%
Skills test: 2%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 weeks. I interviewed at X (San Francisco, CA) in Aug 2021
Interview
The final step will typically be full of coding questions, theoretical questions, systems questions, and questions to evaluate your behavior and problem-solving skills. The questions are not difficult if you know the materials.
The recruiter got in touch to set up a screening call. I was asked basic questions concerning my background and my motivation. Then we had a coding challenge with a question I later found on LeetCode under the Twitter section for the last 6 months.
Case study was interesting; interviewer was previously from uber so some similar interview questions, techniques do apply, overall a good engaging exercise. Nothing to complain about. Overall it is okay
Interview questions [1]
Question 1
explain probability distribution, how to track cohorts, a/b testing, case study on casual inference, working sample codes based on sample user behavioural usage dataset.
Python Coding of data science algorithm. Python library fundamental knowledge questions.
Data structure and algorithms coding.
System design of distributed compute systems.
A behavioral question round.
Followed by a hiring manager round.