Meta Data Scientist Analytics & Experimentation Interview Questions
Practice 258 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."
Evaluate AI-assisted ads creation feature
This question evaluates a data scientist's competence in experimental design, metric selection, causal inference, and balancing business metrics with ...
Define metrics for harmful-content severity
Context You are a Data Scientist on the integrity / harmful-content team for a large social media product. Leadership wants a way to track how bad pol...
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...
Design marketplace experiments at DoorDash
You are interviewing for a product data role at DoorDash. Consider the following marketplace scenarios. 1. Top Dasher program DoorDash runs a status...
Define engagement metrics and analyze comment distribution
You are a Data Scientist for a video platform. A PM asks you to: 1) Define metrics for “engagement” (they want a clear metric framework they can use i...
How investigate a brand-ad spend drop?
Meta has a video ads product with two ad types: - Direct ads: optimized for in-platform actions - Brand ads: users click the video ad and are sent to ...
How would you evaluate upranking shop ads?
This question evaluates a candidate's competency in ad-ranking intervention evaluation, causal inference and experimentation design, metric definition...
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...
Determine Success Metrics for Circle Feature Optimization
Determine Success Metrics for Circle Feature Optimization Scenario Meta is evaluating a new social feature called Circle (similar to Facebook Groups),...
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...
How to test account ranking change
This question evaluates a data scientist's competency in causal inference, experimentation design, metrics selection, and observational analysis using...
Assess Demand for Group Video Chat
This question evaluates skills in product analytics, causal inference from observational data, demand estimation, survey design, and executive-level s...
Design and analyze notification pinning experiment
This question evaluates experimental design, causal inference, metric definition and instrumentation, sample size estimation, and analysis skills in t...
How would you validate a driving simulator’s realism?
You work on autonomous driving evaluation. You have two datasets for the same set of driving scenarios: - Real-world logs collected from vehicles (gro...
Design Experiment to Measure Shopping Feature Impact
Experiment Design: Measure Instagram Shopping Impact Instagram is launching an in-app Shopping feature, such as product tags, shop surfaces, or in-app...
Define and estimate prevalence of unhealthy users
This question evaluates a data scientist's ability to operationalize an "unhealthy user" metric and compute its prevalence from session duration and d...
Evaluate new-product notification feature
A marketplace team is considering building a feature that notifies buyers when new products relevant to their interests are listed. How would you dete...
Assess Group Video Chat Demand
This question evaluates a data scientist's product analytics competencies including causal inference, experiment and questionnaire design, proxy metri...
Measure Harmful Content Impact with Key Metrics
Measure Harmful Content Impact with Key Metrics Scenario A social-media platform needs to quantify how serious harmful or inappropriate user-generated...