Chapter 6 Computer Science / Data Scructures and Algorithms
For many data science interviews, the DSA bar is lower than it is for dedicated software engineering roles, but it is not safe to assume it will always be light. Expectations vary a lot by company, team, and title: analytics-focused roles may only test basic problem solving, while product, ML, or platform-oriented data science roles can still include meaningful coding rounds. In practice, being comfortable with common Easy and Medium LeetCode-style questions is a strong baseline, especially for larger or more competitive companies that want to see solid programming fundamentals in addition to statistics, experimentation, and business sense.
6.1 Sample Questions
Interactive Interview Drills
Write Python directly in the browser, use Run to iterate quickly, then use Check answer to validate your solution against example cases and edge cases. Start with the popular questions below, then work through the rest for broader repetition.
Popular Questions
These first questions are included because they are commonly cited as Meta and Google-style interview problems across interview-prep aggregators. Exact percentages and ranks can change over time and depend on the source, so they are summarized here instead of repeated on each card. Sources: Jointaro company-tagged interview pages and company-listing pages such as TutorialsPoint.