Puzzle questions
Lead Data Scientist Interview Questions
347 lead data scientist interview questions shared by candidates
Code review: - Use of one-hot encoding over ordinal encoding - fixing the accuracy, precision, recall calculation, and explaining them - dropping the target before training the model - fitting the model on the train dataset instead of test - explaining the choice of model – random forest classifier, and the number of estimators i.e. trees (hyperparameter) - Why use validation dataset and then predict the test dataset? - Label mismatch in the train and test dataset (additional column in the train dataset) - Missing values in ‘age’ feature - How to handle missing values?
One or 2 questions on CV, or why McKinsey. Which model design works best given the data, and why, which Metric works best etc. Consulting Math with pen and paper only. Ability to compute probabilities, regression results etc. without calculator. Ability to explain what certain ML results on a screen actually meant.
Tell me about a time when you helped someone's career development?
Tell me about X item on your resume.
How do you prevent model overfitting ?
A bunch of practical ML and stats questions. Quiz-style.
Give a presentation on a Data Science Project you have been part of
Apple is not giving user level data to marketers. How to tackle this problem.
No questions, a SQl and Python take home test
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