Data Scientist Interview Experience
Interview process
The process was rigorous. Be prepared to explain your projects in depth during the screenings and behaviorals. Be able to answer why you made X decision over Y. For the on-site, it will be in-person for an entire day (11am-7pm). It will require SQL (Leetcode mediums), an analytics exercise working through messy data with Python (be prepared to work fast, you can use AI tools), a written portion explaining how you would go about building certain models, and a final product sense interview.
- Recruiter screen
- Phone interview
- Technical interview
- Final round
Interview tips
I wish I knew how to work faster for the analytics exercise because there is a lot of information to work through.
Company culture
They have a 996 culture, and they're direct about that.
Questions asked
Specific questions asked
How would you increase growth to Mercor's user base?
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