Ant Group Data Scientist Interview Questions
The questions to prepare for a Ant Group Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Explain what a p-value means in hypothesis testing and how it relates to statistical significance.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
Detect missing fields, duplicate transaction keys, invalid amounts, and merchant reference issues with PostgreSQL CTEs and joins.
SigmoidUse joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersUse CTEs, joins, CASE, and null handling to clean sparse assessment scores and impute missing values per question.
MercorExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
Assesses your system design thinking for building and improving recommendation models in production.
Tests practical deployment experience including monitoring, reliability, and iteration.
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