Google Data Scientist Analytics & Experimentation Interview Questions
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Diagnose YouTube Usage Decline: Key Metrics and Segmentation
Scenario YouTube observes a sudden decline in daily active users (DAU) and total watch time across the platform. Task Design a systematic diagnosis pl...
Diagnose Google Meet Disconnections and Assess Business Impact
Scenario Enterprise clients report that Google Meet calls frequently disconnect. Task Outline an end-to-end analysis plan to diagnose why calls drop a...
Design A/B Test for Subscription Price Increase Effectiveness
Scenario A B2B SaaS company is considering: 1) Raising subscription prices and wants a two-week A/B test to evaluate the impact. 2) Improving a sign-u...
Design A/B Test to Isolate Product Usage Drop Causes
Investigating a 10–11% Product Usage Drop via Experimentation Context You observe that product usage fell by 10% in the U.S. and 11% in Mexico over th...
Analyze Call Drop Rates Pre- and Post-Update Implementation
Evaluate a Non-Experimental Release: Google Meet Call Drops Scenario Engineers shipped a new Google Meet version intended to reduce call drops. A trad...
Analyze Impact of Customer Reviews on Sales Performance
Measuring the Impact of Product Reviews on Sales Context You are asked to propose how to quantify and causally estimate the impact of product review m...
Evaluate College Impact on Income: Address Bias and Validity
Study Setup You have an observational, cross-sectional dataset of 1,000 adult Mountain View residents. The outcome is individual annual income (pre-ta...
Evaluate Auto-Reply Feature Success with Metrics and Experiments
Evaluate and Improve an Auto‑Reply Suggestion Feature Background A chat product ships an auto‑reply suggestion feature (e.g., "Thanks!", "Sounds good"...
Boost Google Workspace Chat Usage with Strategic A/B Testing
Scenario Google Workspace Chat adoption is low, and leadership asks for a data-driven plan to grow monthly active users (MAU). Task Design a plan to d...
Segment Gmail Users for Targeted Marketing and Product Enhancement
Actionable User Segmentation for Gmail Scenario Gmail wants to create actionable user segments to drive product and marketing improvements. Task Propo...
Evaluate Optimal Jogging Routes Feature with A/B Testing
Evaluate and Experiment: Jogging Route Recommendations in Google Maps Context Google Maps is considering a feature that recommends optimal jogging rou...
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...
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...
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 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...
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...
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...
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 ...
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...