Talentica Data Scientist Interview Questions
The questions to prepare for a Talentica Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Identify major online experimentation pitfalls and explain practical mitigations for SRM, network effects, peeking, and novelty.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Calculate three-day rolling user activity averages and classify behavior trends with SQL window functions.
Explain how to optimize near-term product outcomes without sacrificing long-term user trust, retention, and value.
Explain statistical significance, p-values, practical importance, and uncertainty to a non-technical stakeholder.
Build a systematic process to validate, decompose, and explain a sudden 10% drop in core engagement.
Design a launch metric system that measures user value, business impact, and product health.
Explain how to tune slow PostgreSQL queries on multi-million-row tables using indexes, execution plans, joins, and partitioning.
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Find each user's longest consecutive login streak by deduplicating login dates and identifying gaps between days.
Didi Chuxing
ByteDanceCombine joins, aggregations, and window functions to compare conversion and order metrics across A/B test variants.
Instacart