• Collaborate with other data scientists to build and iterate on models for personalized recommendations, targeting, and user segmentation. • Lead personalization initiatives that span modeling, experimentation, and implementation to improve user experience and retention. • Build and deploy machine learning models such as recommendation systems, targeting algorithms, segmentation, and ranking models. • Design and analyze A/B tests and other experiments to evaluate the effectiveness of personalization strategies. • Collaborate closely with Product, Engineering, Marketing, and Data Engineering to bring personalization models into production. • Develop clean, maintainable code and contribute to reusable pipelines, feature stores, and evaluation frameworks. • Translate data insights into compelling stories and actionable strategies for technical and non-technical audiences.