LexisNexis Risk Solutions Data Scientist Interview Questions
The questions to prepare for a LexisNexis Risk Solutions Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
LexisNexis Risk SolutionsAggregate project usage to identify frequently used data analysis tools and compare their hours and ratings.
Limeade
LaSalle Network
E15 GroupExtract qualifying market observations by venue and price, then return them in chronological order.
Equifax
DPR Construction
RigUpOutline a practical evaluation process for making ML models reliable, including validation, calibration, thresholding, and error analysis.
LexisNexis Risk SolutionsSelect appropriate metrics for evaluating a model, considering task type, error costs, class balance, and deployment goals.
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Explain feature engineering and why transforming raw inputs can materially improve supervised model performance.
LexisNexis Risk SolutionsDesign a checkout A/B test and compute the sample size needed to detect a 2% relative lift in purchase conversion within 14 days.
LexisNexis Risk SolutionsExplain statistical significance in experiments and how p-values and confidence intervals guide interpretation.
LexisNexis Risk SolutionsAssess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.
LexisNexis Risk SolutionsTests your ability to translate risk model outcomes into actionable product and operational metrics.
LexisNexis Risk Solutions