Moloco Data Scientist Interview Questions
The questions to prepare for a Moloco Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.
MolocoDecide whether a metric drop reflects a real shift or normal variation using hypothesis testing, confidence intervals, and baseline variability.
MolocoTests ability to compute grouped CTR metrics and implement data transformations in Python.
MolocoCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AITests practical ML techniques for CTR modeling and strategies for new creative onboarding.
MolocoChoose the right evaluation metric for an imbalanced dataset and explain why accuracy can mislead.
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.
MolocoTests product sense and metric design for retention outcomes tied to Moloco's advertiser value.
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