GlobalData Data Scientist Interview Questions
The questions to prepare for a GlobalData Data Scientist interview. Questions from real interview reports rank first. Updated daily.
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.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Compute each user's seven-day activity average and compare it with the corresponding rolling average from the prior week.
Design a launch metric system that measures user value, business impact, and product health.
Investigate whether a performance decline is seasonal or a real product issue.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Explain how to profile, clean, and standardize missing or dirty data before analysis.
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Calculate 7-day rolling claim costs and identify dates where the cost trend is accelerating.
CLARA analyticsCalculate a three-observation moving average for a selected TaskRabbit metric using PostgreSQL.
TaskRabbit