Data Science Intern applicants have rated the interview process at Snowflake with 3.6 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 42% positive. To compare, the company-average is 39.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science Intern roles take an average of 7 days to get hired, when considering 12 user submitted interviews for this role. To compare, the hiring process at Snowflake overall takes an average of 29 days.
Common stages of the interview process at Snowflake as a Data Science Intern according to 12 Glassdoor interviews include:
Skills test: 54%
Phone interview: 15%
One on one interview: 15%
Background check: 8%
IQ intelligence test: 8%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 2 weeks. I interviewed at Snowflake (Chicago, IL) in Mar 2024
Interview
Applied, after 3 days received a 4 Hour OA assessment. The assessment could be done in less time but that depended on how could a model you selected on the first try. After the OA no followup.
Interview questions [1]
Question 1
Implement a ML Model on a relatively straightforward Data Set. Needed lots of preprocessing steps though, Couple of DSA questions were also included.
I received an online technical assignment that needs be completed in 90 minutes. It had 1 Machine learning (end-to-end), 3 multiple choice questions, 1 sql (easy -medium). The questions were not too hard, quite relevant to data science.
I applied online. The process took 1 week. I interviewed at Snowflake in Aug 2024
Interview
The hiring process was disorganized. After the online assessment I was contacted by a recruiter who says there will be two rounds of interviews, with the first round conducted with a hiring manager and some light coding testing. However, the interviewer for the first round was a tech guy, asked all technical questions about ML and said there's gonna be at least another 2 rounds after this one, and no coding in the end.
Interview questions [1]
Question 1
Do you have any experience with transformer/ transform learning? What are some activation functions?