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."
Design analytics and experiment for group video calls
Evaluate and Launch Group Video Calls — Product Analytics Plan Context: You are evaluating a new Group Video Call feature in a large-scale consumer me...
Design and Evaluate an Experiment on Surge
This question evaluates experiment design, causal inference, power analysis, and implementation skills relevant to pricing and supply experiments in a...
Design an A/B test for ML model launch
Feed Ranker A/B Test Design and Powering You are replacing the current ranker with a new model in a feed. Baseline CTR is 2.0%. You expect a +5% relat...
Design and evaluate a dasher bike rollout
Program Evaluation: Allow Car Dashers to Also Use Their Own Bikes/E-bikes Context DoorDash (DD) will relaunch an opt-in feature that lets existing car...
Test 15s to 60s video length change
Experiment Design: Change Default Creator Video Length from 15s to 60s Context You are designing an A/B test for a short‑form video platform with two ...
Measure Ads Manager effectiveness end-to-end
This question evaluates a candidate's competency in experimental design, causal inference, metric definition, telemetry instrumentation, and heterogen...
Define success metrics and guardrails for B2B chat
Define a Success-Measurement Plan for a New EU B2C Chat Subscription You are launching a paid business-to-customer chat subscription in the EU. Design...
Design profitability growth plan
This question evaluates a data scientist's skills in business analytics, experimentation design, and strategic framework development for profitability...
Evaluate impact without randomized experiments
Estimating a Promotion's Causal Effect Without an Experiment Context You need to estimate the causal impact of a marketing promotion on engagement (e....
Measure notification impact and set guardrails
This question evaluates causal inference, experiment design, metric specification and attribution, statistical power calculation, and long-term monito...
Identify latent group-call demand from behavior
This question evaluates a data scientist's ability to design measurable product-analytics signals, infer latent user demand from event-level messaging...
Translate goals into robust product metrics
Analytics & Experimentation: Metric Design and Validation Context You are a Data Scientist working on analytics and experimentation. You are given bus...
Diagnose March Uber ride-volume drop
Diagnostic Plan: March Ride-Volume Drop Context After normalizing for days-in-month, completed trips in March are down 14% vs February and down 9% vs ...
Design and analyze ads A/B test this week
Experiment Test Plan: Ad Scheduling Policy B vs A Context - Objective: Evaluate a new ad scheduling policy (B) against status quo (A). - Readout windo...
Design metrics and experiment
Context You are the data scientist designing success metrics and an experiment for a new subscriber-only feature in a consumer subscription product (e...
Justify building a new feature with evidence
Case Prompt: 10-Minute Go/No-Go Recommendation for a New Feature You are the data science lead supporting a large-scale consumer messaging product. Yo...
Design and analyze batching algorithm experiment
This question evaluates experiment design and causal inference competencies—covering geo-randomization and spillover control, precise metric specifica...
Decide whether to sell both SKUs
Profit Impact of Introducing a Vegan Burger Context A restaurant is considering adding a Vegan burger alongside its existing Regular burger. The unit ...
Identify and validate risky assumptions
This question evaluates experimental design, causal inference, and business-analytics competencies for a Data Scientist by testing the ability to iden...
Define goals and success metrics for subscriber-only features
This question evaluates a data scientist's competency in product analytics and experimentation, specifically goal selection, success metric definition...