Linkedin Data Scientist Analytics & Experimentation Interview Questions
Practice 29 real Analytics & Experimentation interview questions for Data Scientist roles at Linkedin.
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
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', '...
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...
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 ...
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...
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...
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 | |---|---| |...
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...
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 ...
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 ...
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 ...
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 ->...
LinkedIn Product Case Opportunity Sizing
Case: Segment users, size sales professionals, and predict adoption for an email-promoted product Context: You are interviewing for a Data Scientist r...
Design Experiments for Email Campaign & Messaging Update
Experiment Design for Concurrent Email Campaign and New Messaging Feature Context: Marketing will run an email campaign at the same time Product ships...
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...
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...
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...
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 ...
Diagnose Job Application Decline: Funnel Analysis and Segmentation
Diagnosing a Sharp Drop in Job Applications Scenario A recruiting platform observes a sudden decline in the Job Applications metric. Assumptions and C...
Improve Profile Completion Rate
Increasing LinkedIn Profile Completion — Analytics & Experimentation (Onsite) Context Profile completeness affects members' visibility in search, qual...