PayPal·Data Scientist·Technical Phone Screen
Jun 2026
A product analytics case for a data scientist role at PayPal, structured around diagnosing a sudden drop in shopper order acceptances on a grocery delivery marketplace. The question was thorough and multi-part, covering funnel decomposition, root cause trees, metric slicing, artifact detection, and mitigation proposals. Pretty intense for a single question.
- A grocery delivery marketplace sees order acceptances by shoppers drop by roughly two-thirds on a Sunday afternoon compared to baseline. Walk through how you'd diagnose this: define the metric precisely, build a root-cause tree across shopper supply, customer demand, and platform/merchant systems, list the metrics and slices you'd check first, distinguish a real drop from a logging artifact, and propose mitigations and an experiment to validate your leading hypothesis.
“This was a beast of a question.” The rest of the author's notes on Data Scientist interview at PayPal, Technical Phone Screen round, covers how they worked through the question, what the panel pushed back on, and what they would do differently.
View Post