Data Scientist applicants have rated the interview process at Marlabs with 1.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 53.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 1 day to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Marlabs overall takes an average of 9 days.
Common stages of the interview process at Marlabs as a Data Scientist according to 3 Glassdoor interviews include:
Presentation: 33%
Phone interview: 33%
Background check: 17%
Other: 17%
Here are the most commonly searched roles for interview reports -
I applied through college or university. I interviewed at Marlabs in May 2019
Interview
4 technical round and the HR round first round case study , second and third is technical round about the basic questions of data science and python coding and SQL and fourth round is HR round
Interview questions [1]
Question 1
Case study , random forest, decision tree, logistic algorithm
good experience. Reached out with hr first and told them background. Then people from their company ask some basic technical questions and introduced their company a little bit. 3 more words.
I applied online. I interviewed at Marlabs (Ann Arbor, MI) in Jun 2020
Interview
Phone interview with coding. He asked me to do SQL coding. For Machine Learning & Deep Learning stuff, he asked me what kind of libraries I use in Python. And then some normal behavioral questions.
Interview questions [1]
Question 1
What kind of packages do you use for machine learning
I applied online. The process took 1 day. I interviewed at Marlabs (Jersey City, NJ) in Jan 2020
Interview
Application
I applied through a recruiter. The process took 1 day. I interviewed at Marlabs (Edison, NJ) in J an 2020.
Interview
one round interview process not hard, first let you introduce your project, second round is ask you some basic interview questions, and test your understanding of machine learning.
Interview questions [1]
Question 1
what is the difference between supervised learning and unsupervised learning