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 weekly.
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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Choose the most important launch metrics, balancing early signals, long-term outcomes, and a clear KPI hierarchy.
Meta PlatformsDiagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
Meta PlatformsTests your ability to write SQL for cohort or retention analysis and interpret results.
Meta PlatformsCalculate 30-day retention for users exposed to a Google Ads campaign using CTEs, joins, aggregations, and date filtering.
GoogleMeta PlatformsUse SUM, GROUP BY, ORDER BY, and LIMIT to find the top 10 Healthfirst Marketplace customers by purchase total.
RAND
Healthfirst (New York)Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.
Atlassian
RevolutTests your end-to-end approach to building and validating ML models for user engagement at Meta Platforms.
Meta PlatformsTests your product experimentation and metric selection for conversion improvements.
Meta Platforms