Google Data Scientist Analytics & Experimentation Interview Questions
Practice 37 real Analytics & Experimentation interview questions for Data Scientist roles at Google.
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Design an A/B test for search ranking
Scenario You work on a search product and have built a new search ranking/retrieval algorithm (Variant B). The current algorithm is Variant A. You nee...
Design an Unbiased Upgrade Experiment
The Google app releases a new Android version. Every Android user sees a pop-up encouraging installation, but installation is voluntary: some users up...
Design a Causal Upgrade Experiment
A company releases a new version of its Android app. All Android users receive a popup asking them to install the update, but only some choose to upgr...
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...
How would you use propensity score matching here
You want to estimate the causal effect of a new recommender feature on 7-day retention. The feature was not randomized: users “opt in” after seeing a ...
Design an experiment to measure latency impact
You work on YouTube. Engineering proposes a change that reduces video start latency by ~100 ms for some users, but it might increase error rate and ch...
Estimate sales impact from reviews causally
Your PM asks: Do better product reviews cause higher sales, or do higher sales lead to more reviews? Design an analysis to estimate the causal effect ...
Analyze time series and design validation experiment
Daily Policy-Violation Reports: Robust Decomposition, Break Detection, Effect Sizing, Forecasting, and Causality You are given a daily time series Y_t...
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 ...
Design pricing and multivariate button experiments
You join a B2B SaaS firm with three public tiers (Basic $25/month, Pro $50/month, Enterprise = sales-quoted). The PM asks for a 2‑week A/B test to rai...
Design long-tail search evaluation under label budget
Estimating ΔNDCG@10 With Limited Labels Under a Heavy-Tailed Query Mix You serve ~100M queries/day. Query frequencies follow a Pareto distribution wit...
Assess education–income effect credibly
You collected data on 1,000 Mountain View residents: College (binary; attended any college) and Income (annual). Is regressing Income on College alone...
Diagnose a metric drop in search time
Over the last 3 calendar months, the metric 'searching time per user per session' dropped by 35%. A teammate proposes modeling two distributions: T1 =...
Design an A/B test with guardrails and SRM checks
You are launching a new personalized ranking on the product listing page. Define: (a) the primary success metric and its exact formula (include numera...
Define and apply Gmail user segments
Gmail Segmentation, Validation, Targeted Interventions, and Experimentation Context You are evaluating how to segment Gmail users to drive targeted pr...
Measure causal impact of YouTube ads
Estimate the incremental effect of a 6‑week YouTube campaign on weekly online sales. - Explain why naive OLS of sales on ad spend is biased; list at l...
Diagnose unbiasedness in a messy A/B test
A/B Test ITT Unbiasedness and Remedies Under Noncompliance, Missing Logs, Interference, and Early Stopping Setup - Design: User-level 50/50 A/B test s...
Establish causality: commute playlist and driving speed
A lawyer worries that listening to a "Commute" playlist in a mobile app makes users drive faster. As the DS: a) Define the population, unit of analysi...
Diagnose and reverse an adoption-rate decline
Problem: Investigating a 7pp Drop in Google Meet Enterprise Adoption Rate Context Over the last 4 calendar weeks, enterprise adoption rate has fallen ...
Diagnose 10–11% usage drop across geos
US usage is down 10% and Mexico is down 11%. List plausible confounders (seasonality, pricing, outages, marketing mix, competitor moves, feature rollo...