Me postulé a través de un reclutador. El proceso tomó 3 semanas. Acudí a una entrevista en DoorDash (San Francisco, CA) en ene 2025
Entrevista
1: Recruiter Screening
2: Technical Interview - SQL and Case Study
3: Panel Interviews - 1 Product Partner, 3 Case Studies
4 Case studies over the course the interview was complete overkill. It's not like they are distinct, there was so much overlap it's unclear if they want you to somehow approach each one differently or... ?
Otras evaluaciones sobre las entrevistas para el cargo de Senior Data Scientist en DoorDash
Me postulé a través de una recomendación de un empleado. Acudí a una entrevista en DoorDash en ene 2026
Entrevista
referred by a friend, and had the 1st round of interview consisting of 30-min case + 30min coding . The case question is not hard with pretty vague, but they do care a lot on how to translate the solution into technical solutions
Preguntas de entrevista [1]
Pregunta 1
How to evaluate bike delivery as a new dasher type?
Me postulé en línea. El proceso tomó 1 semana. Acudí a una entrevista en DoorDash en nov 2025
Entrevista
It was a series of two rounds, one was a SQL round, and the other a case study. They provide ample material to prepare for the interview beforehand. But be prepared for changes in the time length or order of interviews on the actual day. The SQL questions will be easy to medium.
Preguntas de entrevista [1]
Pregunta 1
The case study focuses on either two or three of their system: users, dashers, and merchants. Practice thinking by putting yourself in each role and evaluating the impact of a decision on you. Focus on metrics as well.
1. The recruiter initially contacted me via LinkedIn.
2. The HR phone screen was straightforward, focusing on my background and salary expectations.
3. The technical round lasted one hour, split into a 30-minute case study and a 30-minute SQL assessment.
Preguntas de entrevista [1]
Pregunta 1
The interview included a case study focused on a specific operational challenge at DoorDash. I was asked to analyze the problem, identify key drivers, and provide actionable insights.