Staff Scientist - Competitive Intelligence

Staff Scientist - Competitive Intelligence Department: Data Science Team: Data Scientist Location: San Francisco, United States Type: Full-Time **About the Role** The Global Intelligence team is at the forefront of shaping Uber’s competitive strategy through data-driven insights. We leverage external and internal data to evaluate Uber’s performance within a rapidly evolving landscape of competitors, market dynamics, and product innovations. Understanding success in this complex environment requires rigorous analytical frameworks, innovative methodologies, and scalable data solutions. We are seeking an experienced candidate with a passion for tackling highly ambiguous, high-impact problems using data. You will tackle highly ambiguous, high-impact problems, applying your expertise in statistical modeling, machine learning, causal inference, and economics to uncover insights that shape critical business and product decisions. Beyond analysis, you will architect scalable data products, mentor other scientists, and collaborate cross-functionally to embed competitive intelligence into Uber’s decision-making at the highest levels. **What the Candidate Will Need / Bonus Points** **What the Candidate Will Do** 1. Leverage advanced analytical methods—including statistical modeling, causal inference, funnel analysis, and deep-dive analytics—to uncover Uber’s largest opportunities in a competitive landscape and drive high-impact business decisions. 2. Translate complex analyses into actionable insights and present findings to business leaders, executives, and cross-functional partners to shape strategy. 3. Collaborate with Product, Operations, and Engineering teams to define and execute a roadmap of high-impact initiatives, ensuring competitive intelligence is deeply integrated into Uber’s decision-making. 4. Provide technical mentorship and thought leadership, elevating the team’s analytical rigor and advancing best practices in statistical and ML methodologies. **Basic Qualifications** 1. Ph.D., M.S., or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or a related quantitativ