Data Scientist applicants have rated the interview process at CNA with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 56.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 60 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at CNA overall takes an average of 26 days.
Common stages of the interview process at CNA as a Data Scientist according to 6 Glassdoor interviews include:
Presentation: 27%
Phone interview: 27%
One on one interview: 18%
Group panel interview: 9%
Other: 9%
IQ intelligence test: 9%
Here are the most commonly searched roles for interview reports -
I applied through college or university. I interviewed at CNA (Chicago, IL) in Nov 2015
Interview
There're 2 rounds for the recruiting process. The first round was 2 separate 30-minute phone interviews by their data scientists. All of them asked technical problems. The first interviewer asked a lot about the basic concepts in statistics. And the second interviewer asked about the project I've done previously and my previous experiences. I didn't get into the second round.
Interview questions [1]
Question 1
what's the meaning of p-value and confidence interval.
I applied online. I interviewed at CNA (Chicago, IL) in Mar 2021
Interview
I had applied long ago, after few weeks I got an automated interview recording task. It was not that excellent, however, still I went to the next round. Again it took me 3 weeks to get to another round of technical interviews. The technical interview is also automated and it is conducted via Modernhire.
Interview questions [1]
Question 1
They asked about binning of numerical data and the projects I did previously.
First round interview with VP, the question is related to the thing you put in your resume. The interviewer speak very fast and seem un-prepared to interview. It took about 30 minutes.
3 rounds of interview:
first was a 45-min interview about project experience
second was a 1-hour R coding interview and 1-hour Python coding interview
third was a combination of project, modeling and behavioral questions (2 hours of this) followed by a 1-hour panel discussion where they have questions about how you approach different DS problems