Rokt Data Scientist Interview Questions
The questions to prepare for a Rokt Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Calculate a 7-day rolling average of Adobe Acrobat document exports using a window function.
RoktUse joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIDesign a marketplace experiment by choosing the right randomization unit and protecting against interference and bad inference.
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Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
RoktA framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.
RoktDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
RoktDesign a recommendation and ranking system that handles cold start for both new users and new items without hurting feed quality.
RoktCompare batch and streaming data processing, including when each fits best in a pipeline.
RoktExplain how statistical significance and confidence intervals are interpreted in a product experiment.
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