Cracking the DoorDash Data Scientist Interview: SQL Optimization & User Metrics

DoorDash | Data Scientist | Interview Experience

Interview Date: Not specified
Result: Not specified
Difficulty: Not specified

Interview Process

During my phone interview with DoorDash for the Data Scientist position, I encountered a series of technical questions that focused heavily on SQL and data handling. The interviewer was very friendly and made sure to explain the process as we went along.

The interview included questions about optimizing SQL queries, writing SQL for user data extraction, defining metrics for a new feature, and a practical coding challenge involving joining multiple tables to derive insights on order behaviors. The interviewer provided feedback after each question, highlighting both strengths and areas for improvement. Overall, it felt like a constructive dialogue.

Technical Questions

  1. SQL Query Optimization (SQL, Optimization)
  2. User Data Extraction (SQL, Data Extraction)
  3. Metrics Definition for New Features (Metrics, Analytics)
  4. Joining Tables Challenge (SQL, Joins)

Tips & Insights

  • Be prepared to explain your thought process while solving problems.
  • Ask clarifying questions to ensure you understand the requirements fully.
  • Focus on how your metrics align with business objectives during discussions.