Describe handling pressure and stakeholder conflicts
Overview
This question evaluates a data scientist's behavioral leadership competencies, including stakeholder management, prioritization under pressure, communication of risk and trade-offs, accountability for analytical accuracy, and handling external dependencies during project delivery.
CVS Health
Oct 13, 2025, 9:49 PM
Data Scientist
Technical Screen
Behavioral & Leadership
0
0
Behavioral/Scenario Questions for a Data Scientist — Technical Screen
Answer concisely using STAR (Situation, Task, Action, Result) where relevant.
- Most interesting analytics project you led: What made it interesting, and what measurable impact did it drive?
- A time a stakeholder pushed for an unrealistic deadline: How did you reset expectations, sequence scope, and still deliver value?
- Navigating conflicting priorities across Product, Marketing, and Legal/Compliance: How did you align on decision criteria and document risk trade-offs?
- A situation where your initial analysis was wrong: How did you discover it, communicate it, and prevent recurrence?
- What aspects of your last role energized you vs. drained you, and how did that inform your job selection criteria?
- When an external dependency (e.g., vendor, counsel, or platform) created a critical blocker near launch: How did you unblock or decide to pivot, and what did you learn?
Solution
Login required
Show