Show ownership in ambiguous creator-growth work
Overview
This question evaluates product-oriented data science competencies including end-to-end ownership, problem framing and success-metric definition, trade-off prioritization, cross-functional influence, experimentation and uncertainty management, geo-aware adaptation, and long-term system-health safeguards.
Describe a time you owned an ambiguous growth problem for creators end‑to‑end. Pick one project and cover: 1) the exact business goal and why it mattered; 2) how you framed the problem, defined success metrics, and prioritized trade‑offs (e.g., creator posts vs viewer satisfaction); 3) a difficult disagreement with a PM/engineer/another DS and how you influenced without authority; 4) a decision you made under uncertainty that turned out wrong—what the leading signals were and what you’d do differently; 5) how you adapted for geo differences (e.g., content norms or compliance); 6) how you ensured long‑term health (guardrails, holdouts, or winsorization/abuse mitigation). Keep the story concrete with dates, numbers, and your specific actions.