Senior Data Scientist (CX Analytics)

Join Coinbase as a Senior Data Scientist on the CX Consumer Analytics team. In this role, you will connect CX operations to top-line financial impact, own revenue calibration models, and design causal inference frameworks. You will partner with various teams to translate complex data into actionable insights and maintain high statistical rigor across CX's analytics function. The ideal candidate has experience with LLM-based classification, revenue attribution models, and driving impactful data science projects. A BA/BS in a quantitative field with 5+ years of experience or a PhD with 3+ years of experience is required.

• Partnership with CX Analytics Engineers, Program Managers, and Product teams to translate complex operational and behavioral data into actionable insights.
• Ownership and evolution of CX's Downstream Impact of Support (DSI) revenue calibration models, translating support interaction data into quantified revenue signals.
• Design and execution of causal inference frameworks and experiments to measure the incremental impact of CX programs on customer retention and product engagement.
• Experience designing and deploying LLM-based classification or NLP pipelines with a focus on production-grade accuracy and evaluation rigor
• Ability to influence cross-functional stakeholders by synthesizing complex model outputs into clear, actionable narratives for executive and product audiences
• Practical expertise applying statistical concepts including A/B testing, causal inference, and ML to ambiguous, real-world business problems
• Demonstrated experience building revenue attribution or causal impact models in a consumer-facing or operational analytics context
• Demonstrated experience driving impactful data science projects that tackle ambiguous problem spaces with limited prior art
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
• A BA/BS in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) with 5+ years of relevant experience, or a PhD in a quantitative field with 3+ years of relevant experience