Coinbase
Senior
Senior Data Scientist owning Coinbase's Downstream Impact of Support revenue models and LLM-powered CX classification pipelines
Coinbase is hiring a senior data scientist to sit at the center of its CX Consumer Analytics team, owning revenue calibration models that tie support interactions to financial outcomes, designing causal inference experiments for CX programs, and building LLM-based classification pipelines for contact taxonomy and friction detection. The role demands executive-ready rigor since outputs feed regulatory-defensible reporting.
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What this interview tests
- Revenue attribution / causal impact modeling for support operations
- A/B testing and causal inference design under real-world confounders
- LLM-based classification pipelines for taxonomy and friction detection
- Productionizing models into governed source-of-truth infrastructure
- Executive-level communication of statistical/causal results
Common question themes
How would you build and validate a revenue calibration model linking support interactions to financial impact
Describe a causal inference experiment you designed to measure incremental program impact
Walk through productionizing an LLM classification pipeline for operational data
How do you ensure statistical rigor holds up to executive/regulatory scrutiny
Tell me about translating a complex model output into an actionable narrative for non-technical stakeholders
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