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 weekly.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
LexisNexis Risk SolutionsUse CTEs, joins, and monthly aggregation to measure cohort activity trends and classify engagement over time.
Calculate month-1 retention for January vs February signup cohorts using joins, date filtering, and aggregation.
Trideum
Zulily
eBayExplain how feature engineering improves supervised models and how to choose useful transformations.
LexisNexis Risk SolutionsExplain feature engineering and why transforming raw inputs can materially improve supervised model performance.
LexisNexis Risk SolutionsSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Explain statistical significance in experiments and how p-values and confidence intervals guide interpretation.
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 SolutionsStructured approach for diagnosing an underperforming model and deciding whether to fix data, thresholding, calibration, or the model.
LexisNexis Risk SolutionsDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
LexisNexis Risk SolutionsAssesses your ability to explain a data modeling pipeline clearly and coherently.
LexisNexis Risk Solutions