Data Scientist loops test Python, SQL and Feature Engineering first, then Problem Solving and Machine Learning. Everything below is aggregated from 28,119 candidate reports and 2,872 company guides.
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I started with a recruiter-style step and then moved quickly into assessments: a coding OA that paired a LeetCode-style question with an SQL task. The questions felt fairly standard and role-relevant, and I was mostly focused on getting the logic right rather than anything exotic. After the coding part, the process tur
I started with an HR call, and then the process moved into two technical interviews. The first phone screen was with a data scientist for about an hour, with a mix of coding and applied ML theory. I remember getting two coding prompts—one focused on SQL and another on algorithms—and then they bounced into ML basics in
