PROS Data Scientist Interview Questions
The questions to prepare for a PROS 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.
PROSTests feature selection strategy and understanding of bias-variance tradeoffs.
PROSTests your ability to validate statistical claims and verify assumptions before drawing conclusions.
PROSCalculate the monthly spending trends for customers using window functions and joins.
PROSExplain how to evaluate a regression model with RMSE and MAE, and how to interpret the tradeoff between average and large errors.
PROSApproach for turning user feedback into a well-scoped feature, with clear prioritization, MVP definition, and success metrics.
PROSDesign an end-to-end A/B test for a pricing page, including MDE, guardrails, analysis plan, and a ship decision.
PROSDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
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Use joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersCalculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.