Senior Data Scientist applicants have rated the interview process at Salesforce with 3.6 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 79.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Senior Data Scientist roles take an average of 29 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at Salesforce overall takes an average of 34 days.
Common stages of the interview process at Salesforce as a Senior Data Scientist according to 6 Glassdoor interviews include:
Phone interview: 28%
Presentation: 17%
Background check: 11%
Drug test: 11%
One on one interview: 11%
Group panel interview: 11%
Skills test: 11%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Salesforce (San Francisco, CA) in May 2024
Interview
Unstructured and not clear about the process. They were looking for specific skill set and experience but the interview process like case study problem was generic and unrelated to job requirements
Interview questions [1]
Question 1
Too many behavioral questions in the initial rounds
I applied online. The process took 2 months. I interviewed at Salesforce (San Francisco, CA) in Jan 2020
Interview
Interview process was challenging, but fair. Recruiter kept me in the loop along the way. It comprises an SQL test, case study, take home data science challenge, on-site presentation, and stakeholder meeting. The whole process took about 2 months from initial application to offer, which I think could have been expedited.
Interview questions [1]
Question 1
SQL calculations (group by, having conditions, temp tables), and case study where you might apply business analytics skills, machine learning models, and presentation skills.
I was contacted by a recruiter at LinkedIn. Did the call with the recruiter, then the team manager, then a coding test and finally the on-site interviews. The questions were strainghtforward and the experience rewarding.
Interview questions [1]
Question 1
Describe a setting where you have put a machine learning system into production