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."
How to evaluate a similar-listing notifications feature
Question You are a Data Scientist on a US C2C marketplace app (like Facebook Marketplace) where users buy and sell second-hand products. Current produ...
Design an Unbiased Upgrade Experiment
This question evaluates understanding of causal inference, experiment design, and metric selection in product analytics, including defining causal est...
Diagnose Cold-Food Deliveries and Make a Launch Decision
You are the data scientist for a food-delivery marketplace. Customers are reporting that some orders arrive cold. The product team proposes an interve...
Evaluate Smart Wait Launch Impact
A ride-hailing or autonomous-vehicle product launches a feature called Smart Wait. Before a user confirms a ride, Smart Wait shows a more conservative...
How should you evaluate unconnected content?
A social media platform has launched a feed feature that increases the share of unconnected content, meaning posts from creators who do not have an ex...
Evaluate launching a vegan burger
Scenario You run a fast-food burger chain, and a rival has just launched a hit vegan burger. The question on the table: should you add a vegan burger ...
Design an Identity Trust Experiment
This question evaluates a candidate's abilities in experimental design, causal inference, metric definition, interference mitigation, sample size esti...
How would you use propensity score matching here
You want to estimate the causal effect of a new recommender feature on 7-day retention. The feature was not randomized: users “opt in” after seeing a ...
Evaluate Fresh Content and Video Experiments
Pinterest wants to improve the perceived freshness and engagement of the home feed. Answer the following interview questions: 1. Define a practical me...
How would you measure product success?
This question evaluates a data scientist's ability to design and interpret product analytics for a subscription-based, seat-licensed collaborative pro...
Diagnose Weekly Session Conversion Anomalies
You are a Data Scientist supporting an e-commerce platform. You receive a weekly time-series dashboard covering the past three years. The dashboard in...
How do you diagnose a ratio metric change
In an A/B test, the treatment group shows a statistically significant increase in a ratio metric: - CTR = clicks / impressions increased by +1.2% rela...
Diagnose completed orders drop in Los Angeles
You are a data scientist at DoorDash supporting the consumer pricing team. The number of completed delivery orders in Los Angeles has dropped meaningf...
How to test bike delivery?
You are a data scientist at a food-delivery marketplace. The company is considering launching a bicycle courier delivery option in selected cities. De...
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 ...
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...
Design robust A/B test with interference and seasonality
Experiment Design: Redesigned Onboarding with Network Effects and Weekly Seasonality Background You are launching a redesigned onboarding flow for a c...
Use Bayes to interpret a broken radar alarm
This question evaluates Bayesian probabilistic reasoning, understanding of base rates, sensitivity/specificity, decision-theoretic trade-offs between ...
Design a network-aware Wi‑Fi badge experiment
You work on a two‑sided travel search marketplace and product wants to add a “High Wi‑Fi” badge/filter in the search bar to help remote workers. Recom...
Design robust primary and guardrail metrics
Experiment Metric Design, Guardrails, and Power for a 14-Day A/B Test Context You are testing a newly launched, guest-facing booking feature in a glob...