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."
Run org-safe online experiment for recommender
Propose an online experimentation plan to evaluate the file recommender in production across multiple organizations where collaborators can influence ...
Design station experiment with interference and rush-hour spillovers
This question evaluates a data scientist's competency in experimental design and causal inference under interference and non-stationarity, covering sk...
Measure network effects and spillovers via experiments
Experiment design under network interference: direct and indirect effects Context You are evaluating a new social feature that can produce network spi...
Evaluate Facebook Dating launch and validate success
Validation Plan: Scaling Facebook Dating from Pilot to Broader Rollout Context: You are a data scientist evaluating whether a limited-market pilot of ...
Design and analyze end-to-end A/B test
This question evaluates experimentation design and analysis competencies for A/B testing, including metric selection, statistical interpretation, inte...
Design an experiment for delay drivers
This question evaluates experimental design and causal inference skills — including randomized and quasi-experimental identification, power and sample...
Diagnose a failing campaign
Vaccination-Lift Experiment Triage Plan Context: You ran a randomized CRM experiment (e.g., email/SMS/push) to increase vaccination uptake. The overal...
Diagnose Sunday Miami same‑day outages
Marketplace stability case: same‑day disablement on Sunday afternoons (Miami) Context Instacart offers two fulfillment modes: - Same‑day delivery (rea...
Use regression vs cohorts for A/B estimation
This question evaluates a data scientist's competency in regression-adjusted causal estimation, specifying interaction terms and assessing heterogeneo...
Compute duration and stopping rules correctly
Experiment Runtime Planning: Same‑Day Delivery Attach Rate You are planning an A/B test on the same‑day delivery attach rate (the proportion of eligib...
Estimate causal effect with interference
A/B Test With Noncompliance and Interference: Causal Effect of Surge Recommendations on Completed Trips Context You ran an A/B test that assigned some...
Choose between A/B and switchback for spillovers
This question evaluates experimental-design and causal-inference competencies, specifically handling interference and spillovers, defining experimenta...
Define metrics and design experiments for notifications
Analytics/Experimentation Case: "Your friend is attending a local event—join them?" You are evaluating a proposed notification: "Your friend is attend...
Brainstorm how to optimize email engagement
Lifecycle Email: Increase Incremental On‑Site Engagement You own lifecycle email for a large consumer app and are tasked with increasing on‑site engag...
Quantify impact without an A/B test
This question evaluates a data scientist's competency in causal inference, quasi-experimental methods, time-series analysis, identification strategy s...
Design pre-launch plan and cluster A/B test
A Facebook feature ('More like this' button that surfaces similar products) is being considered for Instagram, but it has not launched on Instagram. Y...
Decide whether to renew or sell a TV series
This question evaluates a data scientist's skills in financial valuation (NPV and LTV), causal inference and experimental design, sensitivity analysis...
Plan an experiment to validate targeting impact
You produced a ranked list of merchants predicted to adopt Subscription. Design an experiment to validate business impact of targeting them with a sal...
Design an A/B test for WhatsApp call reliability
A/B Test Design: Adaptive Codec for Unstable Networks (WhatsApp Calling) Context You join the Calling organization. A PM proposes enabling an adaptive...
Validate needs and benchmark competitor adoption
Research Plan: Validate User Needs and Benchmark Competitors' Adoption of Group Calling You are designing a research plan for a consumer communication...