Senior Scientist, Direct

Senior Scientist, Direct Department: Data Science Team: Data Scientist Location: New York, United States Type: Full-Time **About the Role** We’re hiring a Senior Scientist for the Uber Direct team—one of Uber’s fastest-growing and most dynamic business lines. Uber Direct enables merchants, enterprises, and consumers to get anything delivered, from retail returns and prescription deliveries to cross-country shipments. This role offers a rare opportunity to help define a new category of delivery beyond food and mobility, and to reimagine what on-demand logistics can look like at global scale. In this role, you will serve as a thought partner to cross-functional leaders and help set the scientific strategy for building a healthy, efficient, and scalable three-sided marketplace. We are looking for a candidate with deep expertise in Economics, Operations Research, or a related quantitative field, and a strong passion for designing foundational marketplace systems that extend beyond existing food-delivery paradigms. You will work closely with Product, Engineering, Operations, and fellow Scientists to develop a deep understanding of marketplace dynamics. You will design incentive mechanisms and build models and algorithms that power pricing, matching, batching, fulfillment efficiency, and other core systems. This role is highly influential, with direct impact on the evolution of Uber Direct’s marketplace architecture, ensuring that our products and decisions are grounded in rigorous scientific thinking. **What the Candidate Will Need / Bonus Points** **What You Will Do** 1. Leverage advanced analytical and quantitative techniques—including machine learning, statistical modeling, causal inference, funnel analysis, and deep-dive analytics—to build a best-in-class delivery experience for Uber’s Direct business. 2. Translate complex analyses into clear, actionable insights and effectively communicate findings to executives, business leaders, and cross-functional stakeholders to shape product and business strategy. 3. Collaborate closely with Product, Engineering, and Operations teams to de