This role focuses on building AI/ML solutions for the Ad Sales business, specifically creating customer-facing recommendations and enhancing end-to-end workflows with Generative AI. The scientist will leverage quantitative modeling techniques like Sequential Recommender Systems, Deep Learning, and Reinforcement Learning, and use NLP and Generative AI for explainability. The role involves research, model development, A/B testing, and collaboration with engineering and product teams to deliver production-ready solutions.

Economist role focused on leading research, econometric modeling, and analysis to understand customer preferences and inform business operations. This involves developing analytic tools and economic models, including generative AI agents, to determine customer promise by considering inventory, fulfillment, carrier capabilities, customer preferences, and economic impacts. The role requires designing, building, and validating GenAI agents against traditional econometric models and production experiments, with the goal of driving changes in transportation and fulfillment networks.