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 would you evaluate emoji reactions launch?
This question evaluates a data scientist's competency in analytics and experimentation, covering metric framework design, A/B testing and quasi-experi...
How to evaluate a new homepage feature
Question PayPal is planning to launch a new homepage feature (for example, a new CTA module, personalized content, or a redesigned layout) and wants t...
Plan DS approach for biker delivery project
You are a Data Scientist supporting a “biker” (delivery rider) product/project for a food-delivery platform. An interviewer gives only a short descrip...
Improve Profile Completion Rate
Increasing LinkedIn Profile Completion Profile completeness affects members' visibility in search, job matches, recruiter outreach, and trust. Assume ...
Investigate Homepage Experiment Without Control Group: Methods and Metrics
Homepage Experiment Without a Control Group A social-media homepage team is analyzing a personalized feed. An intern accidentally launched a treatment...
Diagnose YouTube Usage Decline: Key Metrics and Segmentation
Diagnose YouTube Usage Decline: Key Metrics and Segmentation YouTube observes a sudden decline in daily active users and total watch time across the p...
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 ...
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...
Evaluate Factors Before Renewing TV-Series Contracts
TV-Series Renewal and Divestiture Analysis You are advising a CEO on whether to renew a two-year contract for two TV series: - The Analyst (Series A) ...
Decide content volume and price under uncertainty
How would you decide how many shows to produce and what subscription price to set for an online-content startup? Lay out: a) an optimization objective...
Optimize amusement park pricing, capacity, and testing
Context You are interviewing for a Data Scientist role focused on analytics and experimentation. An amusement park is considering launching a paid Fas...
Diagnose 10–11% usage drop across geos
US usage is down 10% and Mexico is down 11%. List plausible confounders (seasonality, pricing, outages, marketing mix, competitor moves, feature rollo...
Design robust experiment for ambiguous core change
You must evaluate a core product change that likely has network effects (e.g., a matchmaking tweak in a large online game with 8M DAU). Define the pri...
Analyze promo anomaly and design risk guardrails
During a 2‑hour 11.11 flash sale (11:00–13:00), an account A123 places 80 orders in 10 minutes using 12 payment cards across 5 device_ids; 9 orders sh...
Measure outage impact; choose fix vs build
End-to-End Analysis Plan: Investigating Frequent Google Meet Call Drops Context A major enterprise customer reports frequent Google Meet call drops. A...
Design an experiment for spam filtering impact
Experiment Design: Stricter Spam Filter Impact on Friend Requests Context You run a social app with a friend-request system. A stricter spam filter wi...
Diagnose cold-food spike and design experiments
Cold Food Complaints: Metrics, Diagnosis, and Experiment Design Context and assumptions: - You are analyzing a spike in “food arrived cold” complaints...
Identify and mitigate risks to break-even
Break-even Risk Assessment for the RH Partnership Offer Context You are evaluating a break-even (BE) analysis for a partnership offer with RH (e.g., 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...
Design KYC experiment amid crypto volatility
A/B Test Design: Improve Mobile KYC Completion During High Market Volatility Context: You are analyzing a mobile onboarding funnel where the KYC (Know...