Shopify Product Data Science Intern interview questions
based on 2 ratings - Updated Apr 13, 2026
Averageinterview difficulty
Very positiveinterview experience
How others got an interview
100%
Applied online
Applied online
Interview search
2 interviews
Shopify interviews FAQs
Product Data Science Intern applicants have rated the interview process at Shopify with 2.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 45.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Product Data Science Intern roles take an average of 29 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Shopify overall takes an average of 33 days.
Common stages of the interview process at Shopify as a Product Data Science Intern according to 2 Glassdoor interviews include:
Phone interview: 50%
One on one interview: 50%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 weeks. I interviewed at Shopify
Interview
First, an OA including Python and SQL questions. Then an interview of only SQL, where we could use AI to help us. Then a life story interview, which was fully behavioural.
I applied online. The process took 4 weeks. I interviewed at Shopify in Sep 2025
Interview
1) An OA where AI use is allowed: one SQL and one Python question. With AI, only took about 15 minutes.
2) A take-home assessment with several datasets, specific querying questions, and open-ended questions. I used pandas for this portion. AI is allowed. A small report required to summarize and share your insights.
3) Technical interview: Very similar to the take home, but done in SQL. Be prepared to use AI to your fullest extent. I essentially copy pasted the question into ChatGPT and got the answer. Make sure you understand the code being outputted and are able to show creativity and logic.
4) Behavioral interview: A resume walk-through with questions focused on your passions and what led you to this role, and some STAR questions. Nothing out of the ordinary here.
Interview questions [1]
Question 1
Types of joins and their differences, how to identify NULLS in a dataset.