BCA Data Scientist Interview Questions
The questions to prepare for a BCA Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Evaluates experimental planning using power, effect size, and error rates.
Explain how RANK() and DENSE_RANK() handle ties differently in ordered SQL results such as leaderboards.
Assesses ability to avoid misleading metrics and confounding in product measurement.
Assesses understanding of OLS validity, diagnostics, and consequences of assumption violations.
Evaluates metric design choices that reflect product success for BCA’s auction experience.
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Deduplicate customer records with ROW_NUMBER, retaining the latest record and reporting duplicate counts.
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NewWave Telecom & TechnologiesDelete duplicate contact records while retaining the most recently updated row for each email address.
BNSF Railway
RevatureIdentify the highest-credit-score 5% of applicants within each state using percentiles and window ranking.
American Credit Acceptance