Moloco Data Scientist Interview Questions
The questions to prepare for a Moloco Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Decide whether a metric drop reflects a real shift or normal variation using hypothesis testing, confidence intervals, and baseline variability.
MolocoExplain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.
MolocoEvaluates model selection and framing for fraud detection or recommender improvements.
MolocoEvaluates SQL proficiency and query optimization for data retrieval tasks.
MolocoCalculate country-level Moloco campaign CTR while excluding campaigns with fewer than 1,000 impressions.
MolocoCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITChoose the right evaluation metric for an imbalanced dataset and explain why accuracy can mislead.
MolocoEvaluates end-to-end thinking for anomaly detection on behavioral data.
MolocoTests system design for streaming ML, detection pipelines, and mitigation strategies under latency constraints.
MolocoTests diagnostic thinking, metric auditing, and structured root-cause analysis with data.
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