Behavioral Case: Team-Based Data Science Collaboration, Scope, and Customer Interaction

Instructions

• Use the STAR method (Situation, Task, Action, Result).
• Quantify impact (e.g., metrics moved, $ value, time saved).
• Emphasize collaboration, conflict resolution, and lessons learned.

Questions

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

Minimal Context (assumed)

• You are a data scientist on a cross-functional product/analytics initiative with direct customer or business stakeholder interaction.
• The project required prioritization, iterative delivery, and measurable business outcomes.