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DoorDash
Data Scientist
DoorDash·Posted 5 months ago · Apr 2026

“The process was fast, recruiter communicated via emails. A technical round with some easy to medium SQL questions and a case study. The final round has 3 case studies and 1 behavioral question round.”

2 rounds
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DoorDash
Data Scientist
DoorDash·Posted 6 months ago · Apr 2026

“The process was smooth. The coding assessment(SQL) section needs serious preparation before any attempt. The case study section was as per expecations and followed the generic pattern.”

2 rounds
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Accenture
Data Scientist
Accenture·Posted 3 weeks ago · Mar 2026

“Process is not that much complex. it went well from recruiter call to final round within 2 to 3 weeks .”

3 rounds4 questions
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Apple
Data Scientist
Apple·Posted 4 months ago · Mar 2026

“Hiring manager asked about AB testing and measurement and campaign through different channel, how to attribute.”

2 rounds2 questions
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Google
Data Scientist
Google·Posted 6 months ago · Feb 2026

“I was first contacted by the recruiter for a buisness DS position and had a quick screen. They walked me through the several rounds and what is covered in each. Later on they even helped me go through feedback for each round. Had a total of about 5-6 rounds. The rounds were mostly case study and statistics oriented. Had very little ML depth questions. ”

4 rounds
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DoorDash
Data Scientist
DoorDash·Posted 3 months ago · Jan 2026

“Overall it was a mixed bag, somewhere I felt that I really did well but somewhere I couldn't judge if interviewer is liking my responses. It was very open ended ”

1 round1 question
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Mercor
Data Scientist
Mercor·Posted 6 months ago · Jan 2026

“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. ”

4 rounds
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HP
Data Scientist
HP·Posted 2 weeks ago · Nov 2025

“The process was rather smooth and the interviewer was pretty friendly. the interviewer came back with the offer pretty quickly.”

2 rounds
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Apple
Data Scientist
Apple·Posted 6 months ago · Sep 2025

“The round was with the hiring manager, she asked me alot of questions on churn, profit and lifetime value, which was the focus of the team. Others were basic ML questions like bias variance tradeoff, and project deepdive.”

2 rounds2 questions
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