Progyny Data Scientist Interview Questions
The questions to prepare for a Progyny Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
ProgynyExplain your experience building predictive models, from feature work and validation to tuning and deployment.
ProgynyDefine the metrics that show whether engagement in a core feature is improving.
ProgynyExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
ProgynyApproach for maintaining data quality and integrity across ETL pipelines.
ProgynyTests data quality handling and correct treatment of missingness.
ProgynyTests your ability to translate business goals into an analysis plan and actionable insights.
ProgynyTests your ability to detect anomalies and choose appropriate outlier methods.
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Optimize a multi-join dashboard query using CTEs and window functions to reduce repeated work.
ApptioUse joins, CTEs, and row ranking to resolve conflicting customer profile values across ACME House systems.
Ramsey Solutions
ACME HouseReconcile billing and ERP invoice totals using joins, a CTE for latest snapshots, and CASE-based discrepancy classification.
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