Meta Data Scientist Analytics & Experimentation Interview Questions
Practice 255 real Analytics & Experimentation interview questions for Data Scientist roles at Meta.

"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."
Design measurement to detect fake accounts
Context You work on a social platform. The only product surface you can rely on is friend requests (sending/receiving/accepting/declining). Assume you...
Diagnose spend drops, bots, and Stories
You are a product data scientist supporting a large social-media advertising platform. In the onsite, you are asked to work through three analytics an...
Evaluate new shop-ads ranking algorithm
You work on a marketplace with shop ads. A new ranking/recommendation algorithm is proposed to promote shop ads more aggressively, but stakeholders ar...
Evaluate fake accounts and ad creation
Answer both of the following analytics questions. 1. Fake accounts on a social platform The platform wants to reduce fake or inauthentic accounts, ...
Evaluate account re-ranking via logs and A/B test
A product has users with multiple accounts. In the UI, these accounts are shown as a list. - Current ranking: accounts are sorted by most recent visit...
How to evaluate new listing notifications?
You work on an online marketplace. The product team wants to build a feature that notifies buyers when new products are listed that match their intere...
Assess Group Video Chat Demand
You are a Data Scientist supporting a social communication product. The company is considering launching a Group Video Chat feature, but the feature d...
Measure a friend-recommendation launch
A new friend-recommendation algorithm ships behind a feature flag. Design how you will measure success and decide whether to launch: - State no more t...
Decide and experiment on Group Call feature
Assume today is 2025-09-01. You have only one table, calls_daily_agg(date, user_id, country, device_tier, one_to_one_calls_started, one_to_one_call_du...
Evaluating and launching Instagram Stories
Evaluating and Launching Instagram Stories You are evaluating the rollout and impact of Stories, an ephemeral sharing format similar to Snapchat, acro...
How would you evaluate pixel-issue notifications?
Context An ads platform supports an Ads Pixel (a tracking script) that advertisers install on their websites/apps to send back conversion events (e.g....
Evaluate a new-listing notification feature
A marketplace team is considering a new buyer notification feature that alerts users when newly created listings matching their interests become avail...
How would you measure Group Call success?
You are interviewing for a Data Scientist role at a social communication product similar to Meta. The team asks you to evaluate a Group Call feature t...
Identify non-table data for feature demand
Evaluate Demand for a New "Group Call" Feature Using Non-Table Data and Experiments Context You are a data scientist evaluating whether to invest in a...
Evaluate Notification-Based Account Ranking
A product allows users to switch among multiple accounts. Today, the account switcher ranks accounts by most recent visit. The product team wants to c...
Assess ranking change and design experiment
A multi-account product currently orders a user's accounts by most recent visit. The product team wants to change the ranking so that accounts with th...
Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform
Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform You are a data scientist at a large user-generated-content platform (think a...
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...
Compare performance of FB vs IG Stories
You are asked to compare ads performance between two placements/products (e.g., Facebook Stories vs Instagram Stories) and make a recommendation on wh...
Run a clean A/B test for recommendations
You must run an A/B test to evaluate the new hashtag recommender starting on 2025‑09‑01. 1) Define the randomization unit (user/session/impression) an...