Data Scientist applicants have rated the interview process at Massachusetts General Hospital with 3.5 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 72.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 15 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Massachusetts General Hospital overall takes an average of 26 days.
Common stages of the interview process at Massachusetts General Hospital as a Data Scientist according to 2 Glassdoor interviews include:
Phone interview: 50%
One on one interview: 50%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. The process took 4 weeks. I interviewed at Massachusetts General Hospital (Boston, MA) in Jan 2019
Interview
Was contacted to schedule an interview via e-mail shortly after I submitted my job application. It was subsequently rescheduled twice (I guess it happens).
I was originally supposed to be interviewing with 3 people, but ended up talking to only one of them.
The interview took about half an hour, it was a pleasant conversation. The interviewer made me feel at ease. He asked me to walk him through my resume (standart questions), then he asked a few statistics, data cleaning and machine learning questions to test my knowledge of the subject and to evaluate my thought process. He seemed to be satisfied with my responses. At the end I walked out feeling pretty good overall.
Alas I did not get the offer. Not a big deal, part of the job searching game :)
The only negative was that I did not get a rejection e-mail, nor any response after I had followed up with them. I figured after additional 4+ weeks of waiting, no response means 'no offer' which was a bit frustrating, but again it is not an uncommon way to turn down an applicant.
Interview questions [1]
Question 1
How to prevent overfitting of the data?
How to deal with data redundancy?
What methods of visualization would you use to find outliers?
I applied through a recruiter. The process took 1 day. I interviewed at Massachusetts General Hospital (Boston, MA) in Apr 2015
Interview
15 min personal introduction (both sides), 45 min technical questions. There were about 5 technical questions, one programming , the rest stats/ML like what is cross-validation or how do you control for overfitting in regression.
Interview questions [1]
Question 1
Given an existing set of purchases, how do you predict the next item to purchase of a new basket?