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."
Build dashboard; diagnose engagement–purchase gap
Build a Comprehensive Dashboard for the Shopping Tab (Organic Only) Context Assume the Shopping tab is an in-app surface for organic product discovery...
Define success metrics beyond time spent
Calling Feature Launch: Success Metrics, Retention, Guardrails, and Decision Rubric Context: You are launching a new feature in a consumer calling pro...
Prove new allocation outperforms manual baseline
Prove an Automated Package-Allocation System Outperforms Manual Baseline Context You work in a large last‑mile logistics network evaluating a new auto...
Design experiments and observational alternatives
Stories Consumption Analysis and Causal Inference Tasks Context: You are a data scientist evaluating why Stories consumption appears higher on Faceboo...
Compare two ad insertion strategies
Ad Insertion Strategies for a 100-Post Feed You are evaluating two ad-insertion strategies on a feed with 100 posts: - Strategy A (Stochastic): Indepe...
Define success metrics for Instant Book
Instant Book: Metrics, Measurement, Rollout, and Risk Plan Context You are evaluating an "Instant Book" feature that allows customers to immediately b...
Estimate Super Bowl QR ad sign-ups
Incremental Sign-ups From a Super Bowl QR Ad (48h) CoinFactory ran a 60-second Super Bowl TV spot on 2025-02-09 with a QR code to a signup page. Succe...
Design and evaluate an A/B test for launch
A/B Test Design: New Matching Model for a Two‑Sided Marketplace Context You are testing a new matching/ranking model that determines which providers a...
Separate demand from supply for jeans
Scenario You are a Data Scientist at a multi-category marketplace. The Jeans category is underperforming. You must diagnose whether the primary bottle...
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...
Investigate SMS delivery-rate drop at Attentive
Triage and Validation Plan: US SMS Delivery-Rate Drop Context On March 10 from 20:00–22:00 ET, the US SMS delivery rate (Delivered/Attempted) dropped ...
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 ...
Diagnose and fix low conversion rigorously
Diagnose a Checkout Conversion Drop After a Promo Banner Launch Scenario Week-over-week, checkout conversion fell from 42% to 35% after a new promo ba...
Decide launch with asymmetric costs
Launch Decision Under Asymmetric Costs (Experiment p=0.10) Context You ran an A/B test on a churn‑reduction feature. The test's p‑value was 0.10 (sugg...
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...
Design and justify unread-accounts pinning experiment
Experiment Design: Pin Unread Accounts at Top of Account Switcher Context You propose a feature for users who own multiple accounts (same person_id): ...
Present an A/B test project review
Onsite Project Review: Analyze and present an A/B test Before the onsite, you completed a take-home project analyzing an A/B test (you can assume typi...
Design an experiment for exploratory recommendations
Experiment Design for Exploratory Recommendations You are launching an online A/B test for a new recommendation algorithm. The goal is to increase use...
Evaluate Rider-Incentive Program Impact with Key Metrics
Evaluate a Rider-Incentive Program in a Ride-Hailing Marketplace A ride-hailing team plans to launch a new rider-incentive program and needs to evalua...
Investigate Traffic Distribution Impact on Retention Decrease
A/B Test Diagnostics: Traffic Distribution and Retention Drop An A/B test changed a button color from green in control to red in treatment. The primar...