GlobalData Data Scientist Interview Questions
The questions to prepare for a GlobalData Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design a launch metric system that measures user value, business impact, and product health.
Explain how to validate data quality and statistical reliability before trusting analysis results.
Explain what statistical significance means, how p-values and confidence intervals support decisions, and why significance alone is not enough.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Assesses statistical planning and power analysis for experiments.
Compute each user's seven-day activity average and compare it with the corresponding rolling average from the prior week.
Investigate whether a performance decline is seasonal or a real product issue.
Explain how to profile, clean, and standardize missing or dirty data before analysis.
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Calculate monthly cohort retention using date-based cohorts, aggregation, and window functions.
XtageBBandhan TechnologiesBBoston Tech IndiaUse aggregation and a window function to rank active players by completed purchase spend, including players with no qualifying purchases.
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