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 3 weeks. I interviewed at Snowflake (Chicago, IL) in May 2024
Interview
3 rounds: 2 technical, 1 professional fit interview. The first interview involved theoretical machine learning questions around supervised algorithms. The second one was particularly focused on my research background, which included stochastic processes and time-series modeling. The final round was a call with the hiring manager, which was largely informal.
I interviewed at Snowflake
Interview
1st round OA -
Time duration : 90min
Total Question : 5
MCQ : 2
SQL Based : 1
Housing Price prediction : 1
Python (List) : 1
feel free to contact me, i'll provide guidance
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?