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
How would you convince a stake-holder (customer) on the business impact of the analytics solution you are providing him ?
Interview was mostly on Gen AI, LLM, RAG etc.
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