Data Scientist
Toronto, ON· Summer 2026
University of British Columbia · Computer Science
5th year · 3.7+ GPA · 4+ past internships
Hard Interview
A/B testing setup and how to handle p hacking and peeking at results came up and I wasn't expecting that at all. First technical round was statistics and probability, questions about distributions and how you'd design an experiment with finite sample size constraints. Second round was a machine learning system design question about building a merchant recommendation engine at Shopify scale. Also a values interview that felt more human than most. Long process overall but the interviewers were smart and treated it like a real technical conversation rather than a gatekeeping exercise
Questions Asked
- 1.“Given a model with high accuracy but poor recall on the minority class, what would you do?”