Teya Data Scientist Interview Questions
The questions to prepare for a Teya Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how statistical significance differs from practical significance and how both affect an A/B test decision.
Explain common experimentation pitfalls and design controls that prevent selection bias from invalidating conclusions.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Tests audience-aware communication, statistical judgment, and the ability to make a complex model actionable for a manager.
Calculate each user's 7-day rolling order volume average, including calendar days with no orders.
Choose and validate a model by weighing predictive gains against interpretability, latency, maintenance, and deployment complexity.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Explain how to tune slow PostgreSQL queries on multi-million-row tables using indexes, execution plans, joins, and partitioning.
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Join two tables and derive palindrome, reversed-substring, and character-frequency results with PostgreSQL.
HsbcCalculate each user's seven-day rolling average of daily events using PostgreSQL window functions.
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