Elevator Pitch + End-to-End Experimentation Case + “Why Meta?”
Context
You are interviewing for a Data Scientist role during a technical screen. Use concise, decision-oriented communication with concrete numbers.
Task
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Elevator Pitch (≤60 seconds)
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Who you are.
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The scale you’ve operated at.
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Your superpower.
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Experimentation Project (end-to-end, with measurable business impact)
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Problem framing.
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Hypothesis.
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Unit of randomization (and why).
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Primary metric and guardrail metrics (and why).
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Sample size, power, and planned duration.
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Pre-registration/analysis plan.
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Execution challenges and how you addressed them.
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Final results with concrete numbers (e.g., +X% conversion at Y% significance, Z p.p. change in a guardrail).
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Causal story (why it worked), trade-offs considered, and what you’d do differently.
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Why Meta?
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Map your motivations to a specific product surface you’d join.
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Explain how your skills fit that team’s needs.