Data Scientist applicants have rated the interview process at Tesla with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 50.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 45 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Tesla overall takes an average of 40 days.
Common stages of the interview process at Tesla as a Data Scientist according to 2 Glassdoor interviews include:
One on one interview: 33%
Group panel interview: 33%
Phone interview: 33%
Here are the most commonly searched roles for interview reports -
Had a phone call with a recruiter then followed up with a phone interview with the hiring manager. Wasn't really a technical interview more of a conversation about the role and how my experience relates to it.
Interview questions [1]
Question 1
Recruiter definitely wanted to know why I was interested in Tesla.
The interview has 3 steps. First is a phone screen, which has two parts. The first part are all basic questions for background, working experience etc. The second part is the coding and statistical questions. The second step is the take-out exam for some specific questions. The last step is on-site interview.
I applied online. The process took 2 weeks. I interviewed at Tesla (Palo Alto, CA) in Jan 2015
Interview
The process was overall smooth. A couple of calls with HR, then a phone interview with the hiring manager, then an onsite. HR was a little bit pushy on accepting an offer but I pushed back and went back to meet the team and .. interview them before actually accepting the position.
Interview questions [1]
Question 1
Apart for the usual there were a set of bayesian statistic questions and some advanced SQL.