Rokt Data Scientist Interview Questions
The questions to prepare for a Rokt Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate a 7-day rolling average of Adobe Acrobat document exports using a window function.
RoktAggregate Rokt campaign delivery events to calculate volume and success rates, including campaigns with no matching events.
RoktUse joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersDesign a marketplace experiment by choosing the right randomization unit and protecting against interference and bad inference.
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A framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.
RoktExplain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.
RoktExplain how statistical significance and confidence intervals are interpreted in a product experiment.
RoktDesign a recommendation and ranking system that handles cold start for both new users and new items without hurting feed quality.
RoktExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
RoktCompare batch and streaming data processing, including when each fits best in a pipeline.
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