Getting ready for an Data Scientist interview at McKinsey? The McKinsey Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
Interview Query regularly analyzes interview experience data, and we’ve used that data to produce this guide, with sample interview questions and an overview of the McKinsey Data Scientist interview.
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Typically, interviews at McKinsey vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.
We’ve gathered this data from parsing thousands of interview experiences sourced from members.
Practice for the McKinsey Data Scientist interview with these recently asked interview questions.
| Question | Topic | Difficulty | ||||||||||||||||||||||||||||||||||||||||||
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SQL | Medium | |||||||||||||||||||||||||||||||||||||||||||
Over budget on a project is defined when the salaries, prorated to the day, exceed the budget of the project. For example, if Alice and Bob both combined income make 200K and work on a project of a budget of 50K that takes half a year, then the project is over budget given 0.5 * 200K = 100K > 50K. Write a query to forecast the budget for all projects and return a label of Note: Assume that employees only work on one project at a time. Example: Input:
departments table
Output:
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Statistics | Easy | |||||||||||||||||||||||||||||||||||||||||||
Data Structures & Algorithms | Easy | |||||||||||||||||||||||||||||||||||||||||||
SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
Discussion & Interview Experiences