Data Scientist Analytics & Experimentation Interview Questions
Practice 863 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."
Evaluate a free-trial A/B test
Scenario A marketing team ran an A/B test offering a free 1-month trial to users. - Control (A): Standard offer (no free month) - Treatment (B): Free ...
Investigate Causes of Cold Meal Deliveries
Investigate and Reduce Cold Food Deliveries A delivery service is receiving customer complaints that meals arrive cold. You need to investigate the ro...
Diagnose post-release conversion regression rigorously
On July 15, 2025, version 7.3 was fully rolled out. Daily signup conversion fell from 5.4% (July 1–14 baseline) to 4.9% (July 15–21), while spend and ...
Recommend and validate a budget allocation strategy
Using insights you would derive from the SQL task (top advertiser by total spend; most profitable program by net profit and by margin), propose a conc...
Design a switchback and choose block length
Switchback Experiment Design: Airport Pickup Pricing with Spillovers You are a data scientist designing a switchback (time-based A/B) experiment to ev...
Experiment on increasing order notifications
Experiment Design: Increasing Order‑Related Push Notifications Context You are asked to design, measure, and make decisions about increasing order‑rel...
Explain power drivers and resolve unexpected A/B results
A/B Testing: Power, Sample Size, Allocation, and Diagnostics You are analyzing a two-proportion (binary conversion) A/B test with independent users, n...
Design tests to measure latency impact
Question You are a Data Scientist supporting a large consumer product (e.g., YouTube). Engineering ships a change intended to reduce client-side / vid...
How to experiment on ETA reduction
Context You work on a consumer app where users see an ETA (estimated time to arrival/delivery) during a funnel (e.g., browsing → checkout → order plac...
Test whether US uploads more videos
You want to evaluate the hypothesis: > “US members upload more videos than non‑US members.” You have: Table: video_posts | column | type | |---|---| |...
Evaluate New Feed-Ranking Algorithm with A/B Testing
A/B Test a New Feed-Ranking Algorithm A social-media company wants to evaluate a new feed-ranking algorithm intended to increase daily active minutes ...
Estimate ATE, ITT, and TOT from experiment
You are given a single dataset (CSV) from an A/B experiment on a streaming product. The goal is to estimate the causal effect of a personalization fea...
Identify Key Drivers of Delivery Decline in Los Angeles
Identify Key Drivers of Delivery Decline in Los Angeles Scenario DoorDash sees a 10% drop in the number of completed deliveries in Los Angeles week-ov...
Design A/B Test for Search Feature Effectiveness
Design A/B Test for Search Feature Effectiveness A/B Testing a Search Button and Measuring Search Quality Scenario A product team wants to evaluate a ...
Analyze ad watch-time with Excel pivots
You are given a flat file with these columns: Date (Excel date, no time zone), UserID, AdID, WatchSeconds (integer ≥ 0), Clicks (integer ≥ 0). Using o...
Compute duration and stopping rules correctly
Experiment Runtime Planning: Same‑Day Delivery Attach Rate You are planning an A/B test on the same‑day delivery attach rate (the proportion of eligib...
Design a causal evaluation without A/B testing
Non-Randomized Launch Decision via Synthetic Control: Complete Analysis Plan You need to make a go/no-go decision for a high-impact feature that canno...
Design analysis to reduce cold-delivery complaints
Cold-Food Complaints: End-to-End Analysis and Action Plan You are the data scientist at a food-delivery marketplace that is seeing an increase in "col...
Design A/B test for AI chat box
Context A social platform (e.g., Reddit) plans to launch an AI chat box that answers user questions. The functionality overlaps with the existing Sear...
Diagnose Cold Food Deliveries with Key Metrics Analysis
Diagnose Cold Food Deliveries and Test a Fix A food-delivery platform is receiving a spike in customer complaints that delivered meals arrive cold. Yo...