• Own the end-to-end development and operation of deep learning–based ETA prediction systems—building features, training/testing models, running experiments, monitoring and explaining performance in production. • Collaborate with our business, product, and engineering partners across the organization to vision and deliver data science solutions for practical business problems. • Deeply understand our users, our products, and our data to identify opportunities for creating machine learning, optimization and causal inference solutions to deliver a better customer experience and make our business more efficient. • Build data driven, robust and replicable data science models. • Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics.