Behavioral & Leadership (Onsite) — Data Scientist

Context

You are interviewing for a Data Scientist role focused on marketplace and operations. Use concrete, recent (≤12 months) examples, quantify impact, and explain the trade-offs you made across customer experience, dasher experience/earnings, cost, and reliability.

Questions

1. Why DoorDash, and why now?
2. Cross-functional decision under time pressure

• Give one specific example from the last 12 months where you proactively drove a decision with product, operations, and engineering under time pressure.
• Quantify your impact (e.g., conversion, cancellations, delivery time, cost, dasher earnings/EPH, acceptance rate).
• Explain the exact metric trade-offs you accepted and why.

3. Career move

• Why are you leaving your current role? What concrete limitations are you looking to overcome here?

4. Marketplace trade-off: customer wait time vs. dasher earnings

• Describe a time you navigated tension between improving customer wait time and maintaining dasher earnings.
• What was your decision rubric? How did you handle stakeholder pushback in the moment? If you had to redo it, what would you change?

Note: Use a structured approach (e.g., STAR: Situation, Task, Action, Result). Keep answers specific and quantitative.