Describe leading an ambiguous ads project
Overview
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.
Roblox
Oct 13, 2025, 9:49 PM
Data Scientist
Technical Screen
Behavioral & Leadership
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Behavioral: End-to-End Ownership Under Ambiguity (Ads/Growth Analytics)
Context
You are interviewing for a data scientist role focused on ads or growth. Provide a concise, numbers-backed STAR response describing how you owned a 4–6 week analytics project from ambiguity to impact.
Prompt
Describe a time you owned an ads or growth analytics project end-to-end under ambiguous requirements and a 4–6 week deadline. Include:
- Timeline: Start date and end date (spanning 4–6 weeks).
- Scope: Problem, hypotheses, metrics (primary and guardrails), and constraints.
- Stakeholders: Functions/teams and your role in aligning them.
- Success criteria: Explicit, measurable targets you set before execution.
- Decisions and trade-offs: Product and technical decisions, with reasoning.
- Conflict resolution: A conflict with Product or Sales and how you resolved it.
- Impact: Quantified outcomes with concrete numbers (e.g., +X% revenue, −Y% churn). Include p-values and/or confidence intervals where relevant.
- Decision scenario: If your primary guardrail regressed by 0.7 percentage points while revenue rose 8%, what would your decision and communication plan be?
Solution
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