Meta Platforms Data Scientist Interview Questions
The questions to prepare for a Meta Platforms Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Meta PlatformsExplain why A/B testing matters in marketing analytics and how it supports causal, metric-driven campaign decisions.
Meta PlatformsExplain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.
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Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
Meta PlatformsChoose the most important launch metrics, balancing early signals, long-term outcomes, and a clear KPI hierarchy.
Meta PlatformsEvaluates SQL reasoning and validation when implementing statistical calculations from scratch.
Meta PlatformsCalculate 30-day retention for users exposed to a Google Ads campaign using CTEs, joins, aggregations, and date filtering.
GoogleMeta PlatformsIdentify Meta users with at least three distinct feature interactions during the trailing 30-day activity window.
Meta PlatformsReplace missing sales fields with defined defaults and return a consistently ordered dataset.
University of Minnesota
The Home Depot
NationwideEvaluates product sense and analytical thinking for trust and safety on Meta.
Meta PlatformsTests coding accuracy and ability to reason about expected outputs.
Meta Platforms