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."
Use Bayes to interpret a broken radar alarm
A “radar” system (or anomaly alarm) is suspected to be unreliable. You are asked to interpret its alerts and recommend how to operate it. Given Define...
Investigate Falling Brand-Ad Spend
On a video ads platform, there are two ad products: - Direct Ads: optimized for immediate response. - Brand Ads: when a user clicks the video ad, they...
How to estimate feature impact on usage time
Problem A product team believes a new feature (or a variable you can influence, e.g., enabling notifications, new feed ranking, new UI) changes user t...
Investigate MAU Drop and Test Coupons
You are interviewing for a Data Scientist role at a ride-hailing company. The company defines MAU (Monthly Active Users) as the number of unique rider...
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 ...
Design Product Notification and Autocomplete Experiments
You are interviewing for a Product Data Scientist role at Discord. Answer both product experimentation case studies below. Case 1: Subscription notifi...
Assess Adding Bicycle Dashers
DoorDash is considering allowing bicycle couriers (bike dashers) to fulfill deliveries in a city that is currently served mostly by car/scooter dasher...
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...
Design Testing Without A/B Experiments
Suppose a product team wants to evaluate a new feature that is intended to improve user engagement and long-term retention, but a clean randomized A/B...
Design DoorDash Marketplace Experiments
You are interviewing for a Data Scientist role at a food-delivery marketplace such as DoorDash. The marketplace has three sides: customers, restaurant...
Should DoorDash add bicycle dashers?
DoorDash is considering onboarding bicycle couriers in a dense urban market that currently relies mostly on car or scooter dashers. As a Data Scientis...
Evaluate ETA Impact on Conversion
You are a Senior Data Scientist at a ride-hailing company such as Uber. ETA refers to the estimated pickup time shown to a rider before they decide wh...
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 would you investigate a metric decline?
Scenario You are a Data Scientist supporting a consumer marketplace product. A key business metric (e.g., orders/day, conversion rate, revenue, profit...
Evaluate a new ranking model
A food-delivery company serves homepage store recommendations with ranking model V1.1. A new model V2.0 adds several new features and may require a di...
Detect bots using comment distribution patterns
You are analyzing a social/video product where users can leave comments. You are told there may be bot activity. Prompt Using only behavioral data aro...
Estimate ATE of personalization on streaming
You are given a user-level dataset from an online experiment that randomized personalization (treatment) vs no personalization (control). Assume one r...
Evaluate Carousel and Billboard Lift
You are the product data scientist supporting Pinterest. Two analytics prompts were described: 1. Carousel feature at the top of the home feed. Pinter...
Decide if ad load is optimized
Pinterest Home Feed Ad Load Optimization You are asked to design an analysis and experiment to determine whether the current home-feed ad load (ads pe...
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 ...