Data Scientist Analytics & Experimentation Interview Questions
Practice 895 real Analytics & Experimentation interview questions for Data Scientist roles. From companies including Meta, Capital One, DoorDash, Uber, TikTok.
"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."
Determine Optimal Budget Allocation for Maximum Profit
Determine Optimal Budget Allocation for Maximum Profit Scenario You have three user-acquisition platforms: Live Phone Calls, Social Media Ads, and Ema...
Determine Sample Size for Promotion Campaign A/B Test
Determine Sample Size for Promotion Campaign A/B Test Scenario Uber plans to launch a promotion campaign and wants to evaluate its effectiveness with ...
Analyze User-Comment Distribution to Understand Engagement
Analyze User-Comment Distribution to Understand Engagement Meta DSPA Analytics Exercise: Comment Engagement Distribution Context You have three canoni...
Evaluate Facebook Groups Metrics and Test Comment-Collapsing Feature
Evaluate Facebook Groups Metrics and Test Comment-Collapsing Feature Facebook Groups Product Health and Feature Experiment Design Context You are eval...
Diagnose Causes of Low Retention for FB Light
Diagnose Causes of Low Retention for FB Light Diagnose Low Retention for FB Light (Android-only, Emerging Markets) Context You are a data scientist on...
Evaluate Metrics and Randomization for Onboarding Tutorial Change
Evaluate Metrics and Randomization for Onboarding Tutorial Change Scenario A single step within Confluent’s multi-step user-onboarding tutorial was mo...
Investigate Causes of Driver WOW Score Drop
Investigate Causes of Driver WOW Score Drop Investigating a 10% QoQ Drop in Driver WOW (Satisfaction) Context Assume WOW is a standardized driver sati...
Reduce airport ride cancellations under causal constraints
Question You are a Data Scientist supporting an airport rides / airport pickups team at a ride-hailing marketplace. Airport pickups are operationally ...
Evaluate an ads algorithm change
This question evaluates competency in experiment design, causal inference, metric selection, product analytics, and evaluation of ad-ranking systems, ...
How would you compare Facebook vs Instagram Stories?
You work on short-form ephemeral content. Both Facebook Stories and Instagram Stories exist, and leadership asks: Which product should we invest in, a...
Design Rideshare Marketplace Causal Analyses
You are a data scientist at a ride-hailing marketplace. Answer the following case prompts as if you were advising product, operations, and marketplace...
One of the most comprehensive LinkedIn DS Product Cases!
You are a Data Scientist working on LinkedIn's profile experience. Define, diagnose, and improve profile completion. Answer these questions: 1. How wo...
How would you measure and experiment on harmful content?
This question evaluates a data scientist's competency in measuring and experimenting on harmful user-generated content, focusing on severity quantific...
How to evaluate Shop ad upranking
This question evaluates a data scientist's competency in causal experimentation, metric design, uplift and channel-substitution analysis, heterogeneou...
Compare performance of FB vs IG Stories
This question evaluates a data scientist's competency in experimental design, causal inference, attribution modeling, metric selection, and decision-o...
Detect bots using comment distribution patterns
This question evaluates a candidate's competency in behavioral analytics, feature engineering, anomaly and bot detection, statistical validation, and ...
Investigate why an advertiser’s spend decreased
This question evaluates a Data Scientist's competency in analytics and experimentation—specifically root-cause analysis of ad spend declines, attribut...
How to improve complaint resolution
You are given three related tables for a Wayfair-style e-commerce customer-support dataset. complaints - complaint_id STRING - customer_id STRING - or...
Analyze and mitigate fake advertiser accounts
This question evaluates competency in fraud detection analytics, including operationally defining fake advertiser accounts, designing longitudinal met...
How would you measure billboard impact?
This question evaluates a data scientist's skills in experiment and product design, causal inference (including propensity-score approaches), metric d...