Google·Data Scientist·Technical Phone Screen
Jun 2026
Google data scientist interview with a meaty case question about comparing two competing snack shops over a 14-day window. One question, but it unpacked into five sub-parts covering metric design, data collection, causal identification, regression modeling, and decision guardrails. Dense.
- Two snack shops operate side by side at a school entrance. You have 14 days to figure out which one will generate more profit over the next quarter. Design a full measurement and analysis plan: define your primary metric and why it's the right one, specify the minimum data you'd collect, describe your causal identification strategy given real-world confounders like exam weeks and mid-study price changes, write out the regression you'd fit including fixed effects and controls, and state your explicit decision rule with guardrails for things like stockouts.
“This one sprawled fast.” The rest of the author's notes on Data Scientist interview at Google, Technical Phone Screen round, covers how they worked through the question, what the panel pushed back on, and what they would do differently.
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