Data Scientist applicants have rated the interview process at LifeBell AI 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 33.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 21 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at LifeBell AI overall takes an average of 21 days.
Common stages of the interview process at LifeBell AI as a Data Scientist according to 3 Glassdoor interviews include:
One on one interview: 40%
IQ intelligence test: 20%
Presentation: 20%
Phone interview: 20%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at LifeBell AI (New York, NY) in Dec 2020
Interview
The first round of the interview was given by HR, I was asked to describe and explain the work experience with less technical terms. The second round was with a current data scientist: I was given several cases and asked to give solutions to those.
Interview questions [1]
Question 1
Describe how you would use random forest on a large datasets (with around 10 features)?
Typical HR interview to start off with. Then an hour long technical interview. The technical interview was rather strange, lots of writing down easily google-able formulas and less about actually understanding and talking about actual ML concepts. It was more like a rapid fire questionnaire of ML than any assessment of real comprehension/ability.
I applied online. The process took 3 weeks. I interviewed at LifeBell AI in Feb 2022
Interview
There will be 4-5 rounds in general. The first round is a 30-45 mins round with the HR. The second round is data science-related rapid-fire questions and then a case interview relating to time series data science questions. Third round is a data challenge (take home). The fourth round is explaining your solution to a panel and the fifth round is meeting with the executives.
Interview questions [1]
Question 1
General data science questions with a heavy focus on time series.