Practice for the Snap interview with these recently asked interview questions.
| Question | Topic | Difficulty | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SQL | Medium | |||||||||||||||||||||
Let’s say we want to build a naive recommender. We’re given two tables, one table called Write an SQL query to create a metric to recommend pages for each user based on recommendations from their friend’s liked pages. Note: It shouldn’t recommend pages that the user already likes. Example: Input:
Output:
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Data Structures & Algorithms | Medium | |||||||||||||||||||||
Product Sense & Metrics | Hard | |||||||||||||||||||||
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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How prepared are you for working at Snap Inc.?
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 $165,726 base salary while the Product Analyst role on average pays the least with a $57,699 base salary.
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