This question evaluates a data scientist's competencies in problem framing, decision-making under constraints, comparative method selection, experimental validation, stakeholder coordination, and end-to-end delivery.
Technical/phone screen for a Data Scientist role. The interviewer wants to assess how you frame hard problems, make decisions under constraints, evaluate alternatives, and drive measurable outcomes.
Walk me through the most challenging project on your résumé and explain why it was difficult. What alternative approaches or methods (e.g., technique XXX) did you consider, and why did you ultimately choose a different solution?
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