GSK Data Scientist Interview Questions
The questions to prepare for a GSK Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.
GSKTests ability to build predictive models for constrained, high-stakes allocation decisions.
GSKIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
GSKExplain statistical significance in experiments and how p-values and confidence intervals guide interpretation.
GSKTests SQL window function skills for partitioning and ranking within grouped regions.
GSKTests metric design, instrumentation thinking, and structured root-cause analysis.
GSKTests understanding of core NLP model architectures and their implications for performance.
GSKTests experimental design, metric selection, and guardrails for downstream impact.
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Use INNER JOIN, GROUP BY, and ORDER BY to summarize GSK trial enrollment by country.
GSKUse a CTE, joins, and RANK() to find the top 2 clients by revenue for each product from completed 2024 orders.
Google
Publicis Groupe
RTXRank the top three DoorDash merchants per city by 30-day revenue using joins, aggregation, date filtering, and ROW_NUMBER.
DoorDash