Sezzle Data Scientist Interview Questions
The questions to prepare for a Sezzle Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Framework for choosing whether a new feature should be measured primarily by engagement, retention, or revenue.
Define a success metric for a new feature that captures real user value, not just raw usage.
Design an A/B test for a new checkout installment-flow feature, including metrics, power, guardrails, and a disciplined ship decision.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
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Assesses strategies for imbalanced classification and improving fraud model performance.
Assesses model selection tradeoffs between clustering and instance-based classification.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Use PostgreSQL window functions and time filtering to find nearby duplicate charges by account and amount.
American ExpressEvaluate fraud model thresholds using CASE logic, aggregations, and window ranking for precision and recall.
PhonepeClassify missing or corrupted dashboard metrics and expose only validated values for executive reporting.
SoFi
General Dynamics Information Technology