Demonstrate leadership under disagreement and obstacles
Overview
This question evaluates leadership competencies such as delivering constructive feedback, resolving principled disagreements, unblocking projects, earning cross-functional trust, stakeholder management, risk mitigation, and the ability to quantify impact within a Data Scientist role, presented in STAR-formatted behavioral examples.
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Oct 13, 2025, 9:49 PM
Data Scientist
Onsite
Behavioral & Leadership
0
0
Behavioral & Leadership — Data Scientist Onsite
Provide four concise STAR examples (one per prompt). For each example:
- Use STAR (Situation, Task, Action, Result) formatting.
- Include stakeholders, key risks, alternatives considered, decision criteria.
- Quantify outcomes (e.g., revenue +$X, latency −Y%, adoption +Z%, error rate −W%).
Prompts
- Constructive feedback: A time you delivered corrective feedback to a peer/partner who was underperforming; how you ensured psychological safety; what metric improved and by how much.
- Disagree and commit: A principled disagreement with a PM/leader where you influenced the plan or committed despite disagreement; how you de-risked the chosen path; results versus the counterfactual.
- Biggest obstacle: A project with a major blocker (org, technical, or data quality); how you unblocked; measurable impact and timeline.
- Earn trust cross-functionally: A situation where you had to win the trust of engineering, product, and a skeptical stakeholder; concrete actions (cadence, artifacts, demos); metrics/testimonials showing improved partnership.
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