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 decide to cancel a TV show?
This question evaluates a data scientist's competencies in business analytics and strategic decision-making, including financial and valuation reasoni...
Evaluate Carousel and Billboard Lift
This question evaluates experiment design, causal inference, metric definition, diagnostic analysis, and measurement validity within the Analytics & E...
How would you choose between shows?
You are a data scientist at a streaming company similar to Netflix or Hulu. Leadership wants a recommendation on whether to renew an existing series o...
Investigate Metric Drops and Coupon Retention
This question evaluates a data scientist's skills in product analytics, metric instrumentation and validation, causal inference, cohort selection, exp...
Measure Shopify App Store Success
You are a Data Scientist working on the Shopify App Store, a marketplace that connects Shopify merchants with third-party app developers. Merchants us...
Design Experiments Under Network Interference
You are a Senior Data Scientist for a gaming platform such as PlayStation. Answer the following experimentation questions. 1. A/A test validation: The...
Assess free-month promotion impact
This question evaluates a data scientist's competency in experimental design, causal inference, metric definition and prioritization, bias identificat...
Estimate Revenues and Costs for New Amusement Park Launch
Estimate Revenues and Costs for New Amusement Park Launch Amusement Park Case: Revenue, Costs, Profit, and Go/No-Go Context You are advising an amusem...
Compute ITT, TOT, and LATE with noncompliance
In the same personalization experiment, not everyone assigned to treatment actually receives personalization (noncompliance). You are given user-level...
Design DoorDash Marketplace Experiments
This question evaluates a data scientist's competency in experiment and quasi-experiment design, causal inference, metric definition, and judgment abo...
Evaluate Dating App Product Changes
This question evaluates a data scientist's competency in experimentation design, causal inference, metric specification, and marketplace-aware product...
How to evaluate a new Carousel feature
This question evaluates a data scientist's competence in experimentation design, measurement framework formulation, metric definition, and diagnostic ...
Test whether US uploads more videos
This question evaluates a data scientist's competency in observational analytics, metric definition, confounder identification and control, and statis...
Measure scheduled posts feature success
Facebook is considering launching a new feature that allows users to schedule a post to be published at a future time. The product hypothesis is that ...
Estimate ads ranking revenue impact
You are the data scientist for an ads ranking team at a large social platform. The team has built a new ranking algorithm for feed ads. The new model ...
Define Marketplace Success Metrics and Investigate Their Movement
Define Marketplace Success Metrics and Investigate Their Movement A two-sided live-commerce marketplace asks you to define success metrics. A primary ...
Should Company Launch Vegan Burger Based on Profit Analysis?
Case: Launching a Vegan Burger — Unit Economics and Go/No-Go You are a data scientist supporting a product team that is deciding whether to launch a v...
Design A/B test for AI chat box
This question evaluates skills in experimental design, product analytics, metrics selection, and causal inference relevant to a Data Scientist role in...
How would you test product changes?
This question evaluates experimental-design and analytics competencies—specifically A/B testing, causal inference, metric selection, segmentation, pow...
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...