SmartNews Data Scientist Interview Questions
The questions to prepare for a SmartNews Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
SmartNewsBuild a daily series and compute a 30-day trailing moving average of task bookings using window functions.
TaskRabbit
RBCCalculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.
Distinguish a true retention impact from seasonality using causal inference, time series controls, and pre-period adjustment.
SmartNewsExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
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Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
SmartNewsDesign an A/B test for a new app-store ranking algorithm, including primary metrics, guardrails, sample size, and launch criteria.
SmartNewsInvestigate whether an 8.2% DAU decline is driven by product breakage, logging issues, or normal seasonal patterns.
SmartNewsEvaluates your metric design and understanding of leading indicators for news products.
SmartNewsEvaluates your system design thinking for personalized news discovery at SmartNews.
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