ICON Data Scientist Interview Questions
The questions to prepare for a ICON Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Discuss how cloud storage fits into ETL pipelines, including staging, data quality, and operational monitoring.
ICONExplain your approach to model evaluation, including how you choose and interpret metrics for different ML problems.
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Explain how supervised, unsupervised, and reinforcement learning differ in data, objectives, and evaluation.
ICONExplain how you use SQL analysis to build dashboards, choose visuals, and communicate insights to stakeholders.
ICONFind the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.
Revolut
ChimeUse CTEs, joins, aggregations, and CASE logic to flag Lyft driver accounts with suspicious early activity patterns.
LyftRank the top 10 ResMed myAir users in each region using joins, aggregation, and ROW_NUMBER().
ResmedTests your ability to connect analytics outcomes to clinical and patient-relevant value.
ICONTests your ability to handle population-level data and derive meaningful insights.
ICONOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
ICONTests your experimental design skills for clinical or quasi-clinical interventions.
ICON