The role involves leading and evolving predictive models to analyze customer behavior, sentiment, and outcomes across digital and support interactions. The professional will design analytical systems that inform business decisions by moving beyond descriptive analytics into production-ready predictive models. Responsibilities include building models to estimate survey responses, developing customer segmentation, and forecasting satisfaction or escalation likelihood. The position requires integrating modern AI-assisted workflows to accelerate model development and experimentation. The individual will own the creation, evaluation, and deployment of these systems while maintaining rigorous data science methodology.

The role requires a senior-level background in data science with a focus on predictive modeling and machine learning. Candidates must demonstrate the ability to own projects end-to-end and possess experience in explaining model selection and performance. Proficiency in customer experience, marketing, ecommerce, or support analytics is necessary, along with specific experience in survey data or sentiment analysis. Additionally, the position requires personal or professional experience with AI-assisted modeling workflows and the ability to adapt to new technologies. No specific degree or professional qualification is mentioned.