Practice for the CarMax interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
Machine Learning | Medium | |
Suppose we have a binary classification model that classifies whether or not an applicant should be qualified to get a loan. Because we are a financial company, we have to provide each rejected applicant with a reason why. Given we don’t have access to the feature weights, how would we give each rejected applicant a reason why they got rejected? | ||
Probability | Medium | |
Behavioral | Medium | |
SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
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Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Product Manager role pays the most with a $154,000 base salary while the Business Analyst role on average pays the least with a $90,000 base salary.
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