Interview questions
Data & AI
Data Scientist interview questions
These questions assess statistical rigor, modeling judgment, and whether a data scientist can tie analysis to real business outcomes.
11 questions across 4 stages.
Phone screen
- 1Describe a project where your analysis changed a decision.
- 2What tools and languages do you use day to day?
- 3How do you decide whether a problem needs a model at all?
Technical
- 1How do you check whether a result is statistically significant and practically meaningful?
- 2Explain overfitting and how you guard against it.
- 3How would you design an A/B test for a new feature?
- 4Walk me through how you'd handle missing or messy data.
Behavioral
- 1Tell me about a time your analysis was wrong or misleading. What happened?
- 2How do you communicate uncertainty to non-technical stakeholders?
Situational
- 1A stakeholder wants a metric to look better. How do you handle it?
- 2Your model performs well offline but poorly in production. What do you check?
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