Signify Data Scientist Interview Questions
The questions to prepare for a Signify Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Determine A/B test sample size from baseline rate, MDE, significance level, and power, then validate the calculation through simulation.
Calculate each customer's 30-day rolling engagement average using a PostgreSQL window function.
Framework for deciding when to favor short-term conversion gains versus long-term retention in a product decision.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Assesses foundational understanding of statistical significance.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
Define a success metric for a new feature that captures real user value, not just raw usage.
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Find each user's longest consecutive login streak by deduplicating login dates and identifying gaps between days.
Didi Chuxing
ByteDanceCalculate daily conversions and a seven-day rolling average using PostgreSQL aggregation and window functions.
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