Mid
Build measurement systems for Pinterest's infrastructure — performance, reliability, and shopping systems
Interview for a Data Scientist II role on Pinterest's Infrastructure Data Science team, partnering with engineering to make app performance, shopping infrastructure, and site reliability measurable and actionable. Expect SQL-heavy technical questions, experiment design scenarios, and questions on turning messy technical data into metrics engineers can act on. Pinterest explicitly uses AI-assisted interviews and evaluates how you explain your reasoning.
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Free · a live voice mock calibrated to this exact role
What this interview tests
- SQL and analytical programming on messy/imperfect data
- Metrics and dashboard design for technical infrastructure systems
- Experiment design and rigorous interpretation of results
- Translating ambiguous engineering problems into analyses
- Cross-functional communication with engineering stakeholders
Common question themes
Design an experiment to measure the impact of an infrastructure change
Audit and fix a metric definition that engineers don't trust
Write a SQL query to diagnose a data quality issue in a large dataset
Translate an ambiguous request from an engineering partner into an analysis plan
Explain a technical finding to a non-technical stakeholder
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