Infosys Data Scientist Interview Questions
The questions to prepare for a Infosys Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain the bias-variance tradeoff mathematically and how L1 and L2 regularization change model complexity and weights.
InfosysExplain how to version pipeline code and datasets so teams can collaborate, reproduce results, and track changes safely.
InfosysDesign a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.
InfosysExplain SQL window functions and when to use ROW_NUMBER() versus DENSE_RANK() for ranked ticket analysis.
InfosysFind the second highest salary in each department without using aggregate functions.
Credit Genie
Devoteam
Cisco Restaurant + BarFind the second-highest distinct transaction amount using a subquery in PostgreSQL without LIMIT.
Capgemini FSSBU
Freecharge
NPCIFind the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.
JPMorganChase
Silicon Valley Bank
NaviFramework for choosing a feature's primary success metric and guardrails before launch.
InfosysDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
InfosysDesign an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
InfosysReason about sample size, power, and minimum detectable effect before launching an experiment.
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