Senior Data Scientist, CX Analytics
Core
Foundational link between CX operations and top-line financial impact, owning revenue calibration models, experimentation frameworks, and behavioral intelligence connecting customer support interactions to asset accumulation.
Role type
Senior IC data scientist (CX analytics & causal inference)
Builds
Revenue calibration models, causal inference frameworks, LLM-powered classification pipelines, segmentation models, and behavioral signals for personalized experiences.
Domain
Fintech / Consumer Analytics / Customer Experience
Deliverable
production ML models | product features
Required skills
Causal inference, A/B testing, LLM-based classification/NLP, revenue attribution modeling, statistical rigor for executive reporting, generative AI tool application
Preferred skills
Experience in consumer-facing or operational analytics, ability to synthesize complex model outputs for executive audiences
Technologies
LLMs, generative AI tools (LibreChat, Gemini, Glean), Python (implied by ML context)
Responsibilities
Own and evolve Downstream Impact of Support (DSI) revenue calibration models; Design and execute causal inference frameworks and experiments to measure CX program impact; Build and maintain LLM-powered classification pipelines for contact taxonomy and friction detection; Partner with Product teams to define segmentation models and behavioral signals; Maintain high statistical rigor across analytics function for regulatory defensibility.
Seniority
Senior, hands-on IC
