Blinkit Data Scientist Interview Questions
The questions to prepare for a Blinkit Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Rank Blinkit products by distinct users purchasing within seven days of registration using joins, a CTE, aggregation, and ROW_NUMBER.
Assesses SQL skills for median calculations and zone-level breakdowns.
Use joins, aggregation, a CTE, and ROW_NUMBER to rank Instagram Save users by quarterly engagement within each region.
MetaMeasure sequential Airbnb Homes funnel engagement and drop-off using CTEs, joins, aggregation, and LAG.
AirbnbGGetYourGuideTests metric debugging skills and structured root-cause analysis.
Assesses metric selection and evaluation strategy for product impact.
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Evaluates ability to design product recommendation logic for Blinkit’s marketplace experience.
Determine A/B test sample size from baseline rate, MDE, significance level, and power, then validate the calculation through simulation.
Evaluates product sense and ability to define measurable search quality outcomes.
Tests ability to interpret statistical significance for product decisions.