Latitude 36, Inc. Interview Questions
Published March 27, 2026
Estimated reading time: 5 minutes
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Machine Learning
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Latitude 36, Inc. Interview Questions
Practice for the Latitude 36, Inc. interview with these recently asked interview questions.
| Question | Topic | Difficulty | ||||||||||||||||||||||||
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Data Structures & Algorithms | Medium | |||||||||||||||||||||||||
You’re given a dataframe containing a list of user IDs and their full names (e.g. ‘James Emerson’). Transform this dataframe into a dataframe that contains the user ids and only the first name of each user. Example: Input:
Output:
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Machine Learning | Medium | |||||||||||||||||||||||||
Behavioral | Medium | |||||||||||||||||||||||||
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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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Latitude 36, Inc. Salaries by Position
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Data Engineer role pays the most with a $115,000 base salary while the Software Engineer role on average pays the least with a $87,000 base salary.
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