Baidu Data Scientist Interview Questions
The questions to prepare for a Baidu Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Tests data-driven judgment, intellectual humility, prioritization, and ownership when evidence challenges a product hypothesis.
Tests conflict resolution, accountability, communication, and the ability to reach a productive outcome.
Explain when to reach for a CTE versus a subquery, covering readability, reuse, recursion, and performance.
Assess whether a new feature changed user engagement using a clear metric definition, comparison design, and guardrails.
Optimize a traditional ML inference loop for predictable low latency while preserving model outputs and measurable accuracy.
Identify major online experimentation pitfalls and explain practical mitigations for SRM, network effects, peeking, and novelty.
Calculate three-day rolling user activity averages and classify behavior trends with SQL window functions.
Explain how you diagnosed a metric decline, separated competing hypotheses, and converted the findings into actions.
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Approach a mixed interview round while summarizing completed activity with a CTE, aggregation, and left join.
WiseCalculate the greatest value difference where the larger value occurs after the smaller value.
Sigmoid