Avanade Data Scientist Interview Questions
The questions to prepare for a Avanade Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate the monthly spending trends for customers using window functions and joins.
AvanadeDemonstrate how INNER JOIN and FULL OUTER JOIN handle matching and unmatched rows.
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eBayEstimate sample size and power for an experiment, define MDE and guardrails, and decide whether the test is worth running.
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Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.
AvanadeExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
AvanadeSet a clear north star, supporting KPIs, leading indicators, and guardrails for a new product feature.
AvanadeExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
AvanadeDesign an end-to-end product recommendation system for a large e-commerce marketplace with strict latency and freshness needs.
AvanadeCompare batch and streaming data processing, including when each fits best in a pipeline.
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