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."
Experimentally evaluate jogging-route recommendations
Design an Evaluation for Jogging Route Recommendations in Maps Objective Design an A/B test and evaluation framework for recommending optimal jogging ...
Estimate Causal Impact Using Synthetic Control Methods
Estimate Causal Impact Using Synthetic Control Methods A product feature has already launched to 100% of traffic, and no explicit control or holdout g...
Investigate Causes and Effects of Dynamic Pricing on ETAs
Investigate Causes and Effects of Dynamic Pricing on ETAs Lyft notices that ride wait times, or ETA, increased 20% month over month. The team suspects...
Design experiment for ads in chat with budgets
This question evaluates a data scientist's skills in experimental design, causal inference, metrics selection, and handling allocation constraints for...
How to evaluate adding video ads in a game
This question evaluates skills in product analytics, experimentation design, causal inference and monetization modeling for free-to-play mobile games,...
Design Identity & Trust Experiment
This question evaluates a data scientist's experimental design and causal inference skills, specifically A/B testing methodology, metric selection, po...
Choose Optimal Network Retry Threshold
You work on a mobile music streaming team responsible for improving playback reliability while minimizing battery drain. When the app is streaming aud...
Investigate LA Order Drop
A food delivery marketplace sees a meaningful decline in completed orders in the Los Angeles market. Explain how you would investigate the drop end to...
Estimate ATE, ITT, and TOT from experiment
This question evaluates a data scientist's competency in causal inference and experimental analysis, specifically the estimation and interpretation of...
Plan and analyze a ranking A/B test
Experiment Design: New Search Ranking Feature Context You are designing, running, and analyzing an online controlled experiment to evaluate a new sear...
Design analytics for a new-market launch
DoorDash New-City Launch: Metrics, Guardrails, and Causal Rollout Design Task Define success metrics and guardrails for three phases of a new-city lau...
Design ad revenue A/B with guardrails
Mobile App Ads Marketplace: Experiment Plan to Lift Revenue by 10% in 60 Days Context You run a mobile app ads marketplace. Target is to increase ad r...
Interpret A/B results for video-pin increase
A/B Test: Increasing Video Pins for New Users Context Pinterest ran an online controlled experiment on new users to increase the share of video pins i...
Compute minimum sample size for A/B test
You are implementing a function to compute the minimum total sample size for an A/B test. You are given: - observed: a 1D array of historical/baseline...
How would you analyze and test a price increase?
Case Study (Product / Data Science) You work on a subscription-based AI video editing/creation product and leadership is considering raising prices (e...
Define product success metrics
This question evaluates a candidate's ability to design product success metrics, specify input and guardrail metrics, plan event instrumentation, and ...
Design a clustered A/B test with spillovers
This question evaluates a data scientist's understanding of cluster-randomized experiments with spillovers, covering causal inference under interferen...
Diagnose and experiment to reduce late deliveries
Two-Sided Delivery Platform: Rising Late Deliveries You are the first analyst on a two‑sided delivery platform that handles both food and parcel order...
Design and analyze a switchback experiment
Design and Analyze a Switchback Experiment: Reducing Cold-Food Incidents for Bike Couriers You are a data scientist on a delivery-marketplace team. A ...
Compare two stores’ profits rigorously
Prompt: 14-Day Plan to Decide Which Snack Shop Will Be More Profitable Next Quarter Context: Two snack shops operate simultaneously at a school gate. ...