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Data Scientist interview questions: the 8 to ask
A data scientist turns data into models and decisions: forecasting, scoring, recommendation.
- 1.How do you choose a model's evaluation metric?
- 2.How do you detect overfitting?
- 3.How do you handle imbalanced classes?
- 4.Explain a model to a non-technical manager.
- 5.How do you deal with missing values?
- 6.How do you know a production model is degrading?
- 7.Tell me about a project where the model added no value, and why.
- 8.How do you design an A/B test?
Tip: for every answer, ask for a concrete example (situation, action, result). An answer without an example is worth half.
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