Slickdeals Data Scientist Interview Questions
The questions to prepare for a Slickdeals Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Diagnose a sudden monthly active user decline by validating the metric, isolating affected segments, and identifying likely product or data causes.
Explain how you diagnosed a metric decline, separated competing hypotheses, and converted the findings into actions.
Set a clear north star, supporting KPIs, leading indicators, and guardrails for a new product feature.
Design a retention experiment with a clear MDE, user-level randomization, guardrails, power analysis, and a defensible ship decision.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Calculate calendar-based seven-day rolling sales averages by category using CTEs, joins, aggregation, and window functions.
Explain statistical significance, p-values, uncertainty, and practical importance to a non-technical audience.
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Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
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