Team-based data science projects where collaboration, scope management and customer interaction were critical.

Describe a time you disagreed with a team member. What was the conflict and how did you resolve it? Give an example of when you delivered work beyond the original project scope. Why and what was the result? Tell me about a situation where you had to deliver under severe time constraints. How did you prioritize and execute? Explain how you have invented and simplified in a past project. What unexpected insight surprised the customer? For that project, how many people were involved and what were their respective responsibilities? How did you collect effective feedback from the customer and incorporate it into later iterations?

Use STAR structure, quantify impact, emphasize collaboration and lessons learned.

Amazon Data Scientist interview question: Resolve Team Conflicts and Deliver Beyond Project Scope. {"blocks": [{"key": "3661a466", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {...