LinkedIn Data Scientist Analytics & Experimentation Interview Questions
Practice 28 real Analytics & Experimentation interview questions for Data Scientist roles at LinkedIn.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"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."
Choose single queue vs multiple queues
This question evaluates understanding of queueing theory, stochastic modeling of wait times, variability analysis, and the ability to state modeling a...
Resolve Simpson’s paradox in email A/B test
This question evaluates understanding of Simpson's paradox, causal inference, experimental design, metric selection, and statistical inference within ...
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', '...
Test whether US uploads more videos
This question evaluates a data scientist's competency in observational analytics, metric definition, confounder identification and control, and statis...
Resolve Simpson’s paradox in A/B email test
This question evaluates understanding of Simpson's paradox, causal inference, A/B testing and experimental design within the Analytics & Experimentati...
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 ->...
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 ...
How to diagnose traffic and measure relevance?
This question evaluates a data scientist's skills in traffic diagnostics, instrumentation validation, user-path and navigation analysis, causal reason...
Measure Success of New B2B Product
Measuring Success of a New LinkedIn B2B Product A new LinkedIn B2B product has launched. Leadership wants to understand whether it adds value and what...
Diagnose Job Application Decline: Funnel Analysis and Segmentation
Diagnose a Sharp Decline in Job Applications LinkedIn sees a sudden, sharp decline in its Job Application metric, defined broadly as completed job app...
Frequent Traveler Case
You are a data scientist at a professional networking platform. Using coarse location signals such as city-level login location, IP geolocation, GPS, ...
Improve Profile Completion Rate
Increasing LinkedIn Profile Completion Profile completeness affects members' visibility in search, job matches, recruiter outreach, and trust. Assume ...
Analyze Profile Traffic Drop
This question evaluates a data scientist's competency in product-metrics analysis, instrumentation validation, segmentation and attribution, and causa...
Design Experiments for Email Campaign & Messaging Update
Experiment Design for Concurrent Email Campaign and Messaging Feature Marketing will run an email campaign at the same time Product ships a new in-pro...
Assess LinkedIn Newsfeed Health
Evaluating the Health of LinkedIn Newsfeed You are assessing the health of LinkedIn's personalized newsfeed. Assume you can track user-, session-, and...
Identify Sales Professionals
Classifying Sales Professionals on LinkedIn You are building a machine-learning system that automatically classifies LinkedIn members who are likely t...
Resolve Conflicting A/B Test Results in Cities
A/B Test Paradox Across Two Cities You ran an A/B test in two geographies, City X and City Y. Within each city, variant A outperforms variant B. Howev...
LinkedIn Product Case Opportunity Sizing
LinkedIn Product Case: Segmentation, Opportunity Sizing, and Adoption Prediction You are interviewing for a Data Scientist role focused on analytics a...
Evaluate an email test with confounding
Evaluate an Email Test With Confounding A marketing team tested Email A and Email B across two cities, San Francisco and New York, over two weeks. The...