Describe leading an ambiguous ads project
RobloxData Scientist · Technical Screen
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This question evaluates a data scientist's end-to-end ownership, experimental and analytics skills in ads/growth contexts, including hypothesis formulation, metric and guardrail selection, trade-off reasoning, stakeholder alignment, conflict resolution, and quantifying impact.
Describe a time you owned an ads or growth analytics project end-to-end under ambiguous requirements and a 4–6 week deadline. Specify the start and end dates, scope, stakeholders, and the explicit success criteria you set. Detail the key product/technical decisions you made, trade-offs, and how you resolved a conflict with either Product or Sales. Quantify impact with concrete numbers (e.g., +X% revenue, −Y% churn, p-values/CI where relevant). If your primary guardrail metric regressed by 0.7 percentage points while revenue rose 8%, what would your decision and communication plan be?
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