Walk through end‑to‑end delivery
EYData Scientist · Technical Screen
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This question evaluates leadership and program-management competencies specific to data science, including end-to-end project ownership, cross-functional coordination, risk identification and mitigation, and production of phase artifacts.
Walk through one program you led or owned across the full project/product lifecycle: strategy, execution planning, requirements, design, development, testing, and rollout. For each phase, cite one artifact you authored (e.g., problem framing doc, RAID log, data contract, sequence diagram, test plan), the riskiest assumption you de‑risked, the metric you used to measure phase exit, and a concrete example of how you handled a slipped dependency on the critical path.
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