Senior CX Data Scientist — Revenue Impact & AI Experiments

Coinbase; Honolulu (HI); Hybrid; USD 180,000 - 212,000; Full time

Benefits offered by this job

Equity

Bonus eligibility

Health benefits

401(k)

Job summary

Coinbase is seeking a Senior Data Scientist for the CX Consumer Analytics team. You will own revenue calibration models, design causal experiments, and build LLM-powered classification pipelines to connect support interactions with business impact.

You will partner with CX Analytics Engineers, PMs, and Product teams to translate complex data into actionable insights, drive retention and product engagement, and ensure rigor for executive reporting and regulatory defensibility.

Qualifications

• BA/BS in a quantitative field or PhD with relevant experience.
• Experience building revenue attribution or causal impact models.
• Experience applying statistics, A/B testing, and ML to business problems.
• Experience designing LLM-based classification or NLP pipelines.
• Ability to communicate complex model outputs to executives and product teams.

Responsibilities

• Own and evolve CX's Downstream Impact of Support (DSI) revenue calibration models.
• Design and execute causal inference frameworks and experiments.
• Build and maintain LLM-powered classification pipelines for CX taxonomy and friction detection.
• Partner with CX PMs and Product teams to define segmentation and signals.
• Maintain rigorous statistical standards for executive reporting and regulatory defensibility.

Skills

Revenue attribution

Causal inference

ML applications

LLM NLP pipelines

Stakeholder influence

Generative AI tools

Education

BA/BS in quantitative field

PhD in quantitative field

Tools

LibreChat

Gemini

Glean

Job description

Coinbase is seeking a Senior Data Scientist for the CX Consumer Analytics team. You will own revenue calibration models, design causal experiments, and build LLM-powered classification pipelines to connect support interactions with business impact.

You will partner with CX Analytics Engineers, PMs, and Product teams to translate complex data into actionable insights, drive retention and product engagement, and ensure rigor for executive reporting and regulatory defensibility.