Meta IT Data Scientist Interview Questions
The questions to prepare for a Meta IT Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Decide when randomization is infeasible or invalid and when a quasi-experiment is the better causal design.
Meta ITIdentify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Meta ITCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta ITInvestigate a 15% CTR drop across multiple campaigns by decomposing performance and separating measurement issues from real demand changes.
Meta ITAssesses end-to-end system design for ML, including architecture, trade-offs, and risks.
Meta ITAssesses probabilistic reasoning and correct interpretation of uncertainty.
Meta ITAssesses model selection judgment and trade-offs among algorithms.
Meta ITEvaluates systems thinking for performance, resource utilization, and throughput.
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Calculate each customer's cumulative transaction amount over time using a CTE and window function.
Fivetran
Mufg - Mitsubishi Ufj Financial Group
Bank Of Tokyo-Mitsubishi UFJCalculate a rolling 7-day average of system error counts using window functions and date-based aggregation.
Amazon Robotics
Datadog
Agile Defense