This question evaluates a data scientist's ability to communicate measurable impact, design and track metrics, manage stakeholders and conflicts, and demonstrate accountability through concrete project examples, testing Behavioral & Leadership competencies specific to the Data Scientist role.
Give a concise 90-second overview tailored to this role. Then deep-dive one project where you changed a business decision using data: state the objective, constraints, your specific responsibilities, the hardest conflict you resolved (who disagreed and why), the metrics you set before starting, the trade-offs you made under time/quality/scope pressure, one mistake you made and how you mitigated it, and the quantifiable outcome (baseline vs. after). Finally, if we called your last manager and a peer, what one sentence would each say about a behavior you should keep and one you should change, and why?