Data Scientist applicants have rated the interview process at Aetna with 2.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 35% positive. To compare, the company-average is 63.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 40 days to get hired, when considering 26 user submitted interviews for this role. To compare, the hiring process at Aetna overall takes an average of 27 days.
Common stages of the interview process at Aetna as a Data Scientist according to 26 Glassdoor interviews include:
Phone interview: 34%
Presentation: 24%
One on one interview: 17%
Group panel interview: 7%
IQ intelligence test: 7%
Other: 5%
Background check: 2%
Drug test: 2%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 2 weeks. I interviewed at Aetna in Jun 2020
Interview
They ghost you.
Had a phone screen with a recruiter, and with a Data Scientist in the team. The recruiter acts rude and arrogant, the Data Scientist phone screen was pretty good. Was based on my resume, after that zero communication. The arrogance shown by the recruiter is a big red flag - ghosting is another red flag. So imagine you get into this company, you'll pretty much be no more than a number on their P&L.
Interview questions [1]
Question 1
Assumptions of Linear regression, basic stats and ML qs.
I took a technical test, a technical phone screen, and had a virtual onsite interview. The position I was being considered for was changed in the middle, which could have been communicated better, though I applied through a recruiter. The change resulted in extra interviews and a lengthier process.
Phone screen, tech phone screen with coderpad sql, on site w/ couple of people from different teams. Overall heavy emphasis on the stats, not much actual coding. Roles are not for engineers, may want to pay attention to it
Total three rounds interview, pretty typical. Talk about projects, previous working experience, asking machine learning questions, ab testing and case study. They much care about how you solve the problem.