This question evaluates a data scientist's ability to communicate complex modeling decisions, justify trade-offs and risks, demonstrate measurable impact through a STAR example, and produce supporting artifacts for non-technical stakeholders.
You are asked to explain a complex modeling decision from a résumé project to a non‑technical Principal Sales Rep who must relay it to a customer.
In under 5 minutes, clearly cover:
Mid‑explanation, the Rep interrupts with: “Why can’t we just use a simple rule instead?”
Also address:
Provide a real example using STAR (Situation, Task, Actions, Results), quantify impact (e.g., revenue, latency, precision/recall), and reflect on what you would do differently next time.
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