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%
Phone interview: 33%
Group panel interview: 33%
Here are the most commonly searched roles for interview reports -
A connection from my university introduced me to a team member at Tesla, leading to an interview opportunity. The process included a technical phone screen followed by an onsite round where I faced a challenging anomaly detection question about vehicle sensor data. Interestingly, I had practiced a similar scenario on PracHub just a week prior, making the technical discussion feel familiar. While I received an offer, I ultimately declined due to personal reasons. Overall, it was a tough, yet insightful experience that pushed my skills to the limit.
Interview questions [1]
Question 1
Design an anomaly detection approach for vehicle sensor time-series data, including how you would handle drift and choose a threshold.
The interview process included an initial application submission, a recruiter screening call, a technical interview focused on coding and problem solving, and a final round discussing experience, teamwork, and fit for the role.
This is strictly online, with no in-person components at all. The questions are fairly simple and straightforward. I previously completed a typing test and several other online "exams" to take as part of the process.