Difficulty
Average
Candidate-reported interview insights
Aetna Data Scientist interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Scientist role at Aetna.
3.4 rating Insurance Carriers
Interview overview
Average rounds
2.6
Average duration
~44 days
Difficulty and candidate experience
Interview difficulty
easy43.3%
average53.3%
difficult3.3%
Candidate experience
neutral20%
positive30%
negative50%
Candidate-reported interview process
I did a technical test, a technical phone screen, and then a virtual onsite. They changed the position mid-way, which they could have handled better with communication, despite me applying through a recruiter. This change meant more interviews and a longer process.
Had a phone screen, then a tech phone screen using coderpad for SQL, and finally an on-site with people from different teams. They really focused on stats, not so much on actual coding. The roles are not for engineers, so keep that in mind.
The interview was pretty standard for a data scientist. They did some technical rounds, talked about my experience, and asked questions specific to the context of the role. It's important to communicate well, almost as much as technical skills, so make sure to explain your thought process clearly when answering.
Common Aetna Data Scientist interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
What would be the result of inner join (SQL)?
- 2
Tell me about your past projects.
- 3
How do you solve the problem
- 4
How to make python faster?
Interview question formats
Technical35.1%
Behavioral29.7%
Coding14.9%
Case12.2%
Other4.1%
Ready to prepare for Aetna?
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 Aetna.