New York Life Data Scientist Interview Questions
The questions to prepare for a New York Life Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Use monthly aggregation and a three-row window frame to calculate rolling processed-claim averages by New York Life region.
New York LifeFind the second highest salary in each department without using aggregate functions.
Credit Genie
Devoteam
Cisco Restaurant + BarCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
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Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.
New York LifeExplain how to reduce overfitting using regularization, validation, and model selection.
New York LifeExplain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
New York LifeIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
New York LifeExplain what precision and recall mean in classification, and how to interpret the tradeoff between them.
New York LifeDefine the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.
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