Huawei Data Scientist Interview Questions
The questions to prepare for a Huawei Data Scientist interview. Questions from real interview reports rank first. Updated daily.
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 three-day rolling average sales by region using aggregation, joins, and PostgreSQL window functions.
Build a systematic process to validate, decompose, and explain a sudden 10% drop in core engagement.
Define a success metric for a new feature that captures real user value, not just raw usage.
Assesses application of DL to time series with practical challenges.
Tests understanding of significance in A/B tests within Huawei projects.
Explain how to detect, classify, and safely handle missing values in PostgreSQL production datasets.
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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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