Linkedin Data Scientist Analytics & Experimentation Interview Questions
Practice the exact questions companies are asking right now.
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Resolve Simpson’s paradox in email A/B test
Email campaign experiment with Simpson’s paradox A marketing team tests a new email variant B vs control A. The experiment ran for two weeks in two ci...
Test whether US uploads more videos
You want to evaluate the hypothesis: > “US members upload more videos than non‑US members.” You have: Table: video_posts | column | type | |---|---| |...
Choose single queue vs multiple queues
Bank queue design choice A bank has 5 tellers. Two possible customer-flow designs: 1. Single queue: one common line feeding the next available teller ...
Analyze homepage drop and feed ranking
You are interviewing for a product data science role at LinkedIn. Answer the following two product-sense questions. 1. Diagnose a drop in Home Page ->...
Resolve Simpson’s paradox in A/B email test
A marketing team tests a new email campaign. They run an experiment for two weeks in two cities (SF and NY) comparing Email A vs Email B. They observe...
Do US members upload more videos than non-US?
You suspect video posting adoption differs between US and international members. Tables members - memberid INT (PK) - country VARCHAR (e.g., 'usa', '...
How to diagnose traffic and measure relevance?
You are a data scientist at LinkedIn evaluating two separate Home-page product questions. 1. Home Page to Profile Page traffic declined. The tracked m...
Decide best email variant using stratified A/B analysis
Stratified A/B Test Across Two Strata (Week/Location) You ran an email A/B test across two strata defined by week/location. Each user receives at most...
How to analyze Simpson's paradox
A marketing team wants to evaluate a new email campaign. Two email versions, A and B, were tested over two weeks in two cities: San Francisco and New ...
Estimate Redesign Impact Using Propensity Score Matching
Scenario A mobile app has been redesigned. Adoption is voluntary: users choose to upgrade to the new version over time. The team needs to estimate the...
Measure Relevant Feed Success
LinkedIn changes the Home Feed default experience from showing all content to showing only content predicted to be relevant to each viewer. How would ...
Resolve Conflicting A/B Test Results in Cities
A/B Test Paradox Across Two Cities Scenario You ran an A/B test in two geographies (City X and City Y). Within each city, variant A outperforms varian...
Analyze Trends to Diagnose Decline in Job Applications
Diagnose a Week-over-Week Drop in Job Applications Scenario A job marketplace observes that its daily application count has declined week-over-week. T...
Analyze Profile Traffic Drop
LinkedIn observes a noticeable decline in traffic from the Home Page to the Profile Page. You are asked to investigate whether this decline is caused ...
Single Queue vs Multiple Queues — Service Design
Bank Branch Queue Design: Single Line to c Tellers vs c Independent Lines Context and assumptions for comparability: - Arrivals are approximately Pois...
Assess LinkedIn Newsfeed Health
Evaluate the Health of LinkedIn's Newsfeed Context You are assessing the health of LinkedIn's Newsfeed (the personalized, scrollable list of posts). A...
Identify Sales Professionals
Classifying Sales Professionals on LinkedIn Scenario You are tasked with building a machine learning system that automatically classifies LinkedIn mem...
Evaluate an email test with confounding
A marketing team wants to evaluate a new email campaign. They tested Email A and Email B across two cities (San Francisco and New York) over two weeks...
Predict Impact of 'Online Indicator' Feature
LinkedIn Messaging: Online Presence Indicator — Analytics Design Context LinkedIn plans to display an online presence indicator (for example, a green ...
One of the most comprehensive LinkedIn DS Product Cases!
LinkedIn Profile Completion: Measurement, Diagnosis, and Improvement Context: You are a Data Scientist working on LinkedIn's Profile experience. "Prof...