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 -
I applied to the data scientist position at Tesla. It was a very difficult process. I applied in early february and heard back 2 months later. They had rejected my application. Whatte Sad.
I applied online. The process took 4 months. I interviewed at Tesla
Interview
10 step process: phone screen, technical, 48 hour take-home, technical, then virtual on-site. On-site requires preparing slides for a 30 minute presentation, followed by 5 back to back interviews most of which are technical. The whole process took over 4 months. In the end, I was never given a decision as the recruiters decided to ghost me after the final round. Don't waste your time, apply elsewhere.
First had a phone screen with a technical recruiter. After that, I had a 45-minute video call with the Hiring Manager. I did not make it to the next step.
Interview questions [1]
Question 1
Q: What ideas do you have for how we can use all the data we collect from our electric cars?