• Build advanced recommendation models, such as Next Best Offer systems, leveraging cutting-edge techniques. • Create and own the end-to-end lifecycle of machine learning models, from data preprocessing and feature engineering to production deployment. • Design and deploy scalable machine learning architectures that integrate seamlessly into customer-facing applications. • Continuously evaluate and improve model accuracy, scalability, and computational efficiency. • Stay up-to-date with the latest advancements in machine learning to ensure best-in-class solutions are applied to business problems. • Report to the Director of Growth Data Science. • Work with the Growth Data Science team to drive measurable impact on user engagement and business outcomes. • Collaborate with cross-functional partners in Product, Engineering, Analytics, and Marketing to deliver data-driven solutions. • Identify new opportunities to uncover actionable insights from large-scale datasets. • Grow the effectiveness of the PLG funnel through optimized model performance and personalization.