LG Electronics Data Scientist Interview Questions
The questions to prepare for a LG Electronics 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.
LG ElectronicsUse joins, conditional aggregation, and date filtering to measure Carvana location performance over the last 30 days.
Carvana
Georgetown University
PluralsightFind the second highest salary in each department without using aggregate functions.
Credit Genie
Devoteam
Cisco Restaurant + BarBuild a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.
LG ElectronicsCompare how you would deploy deep learning inference on edge devices versus cloud systems, including architecture, tradeoffs, and operational risks.
LG ElectronicsChoose a primary success metric and guardrails for a game experiment, then explain how that choice drives power, analysis, and ship decisions.
LG ElectronicsDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
LG ElectronicsTests statistical reasoning and ability to communicate experiment results for connected device contexts.
LG ElectronicsTests product sense and ability to translate user value into measurable data science metrics.
LG ElectronicsIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
LG ElectronicsSign up to see every question
Create a free account to unlock this list and practice real interview questions.