Data Science applicants have rated the interview process at Asurion with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 53% positive. To compare, the company-average is 63.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science roles take an average of 26 days to get hired, when considering 15 user submitted interviews for this role. To compare, the hiring process at Asurion overall takes an average of 19 days.
Common stages of the interview process at Asurion as a Data Science according to 15 Glassdoor interviews include:
Phone interview: 28%
Group panel interview: 17%
One on one interview: 17%
Presentation: 17%
Skills test: 11%
Drug test: 6%
Other: 6%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Asurion (New York, NY) in Nov 2018
Interview
I interviewed with the company in late November and this was the WORST interview process that I have ever met. They did not respect the work of interviewee and I do not enjoy the process at all
Interview questions [1]
Question 1
Resume questions
Lots of features (ways)
basic concept
stats ML python coding system design
- sql question
- stats
- resume screening
- system design
- coding easy leet code
- behavioral round
- referral works
average to hard interview
Phone Screen - 15min
Hiring Manager Interview - 30min resume review
Technical/ Behavioral Interview - interview with 4 folks on the team
Interview with skip level manager - 30min, to understand broader vision of the company
Interview questions [1]
Question 1
Technical Interview was on basic Data Science skills like SQL, Python and Machine Learning
I applied online. The process took 4 weeks. I interviewed at Asurion (Nashville, TN) in Jan 2024
Interview
4 rounds of interviews.
First with the hiring manager, a fit and technical check round.
Second was a coding round.
The third was an ML round.
Fourth was a business case study
Interview questions [1]
Question 1
open-ended ML questions, end to end workflow in a ML project