Manager II, Applied Science

Job Title: Manager II, Applied Science Company: Uber Job Category: Machine Learning Roles & Responsibilities: About the role and team Leading at Uber means setting direction in motion, not waiting for perfect conditions. As a Manager II of Applied Science for Safety, you will lead a global team of data and applied scientists dedicated to one of our most critical missions: ensuring the safety of every rider and earner on our platform. You will own the end\-to\-end science lifecycle for high\-visibility projects—from deep\-dive analysis and causal inference to the messier reality of deploying and monitoring models in a production environment at massive scale. This role requires a leader who can navigate the tension between rapid product iteration and the rigorous scientific standards necessary for safety\-critical systems. You will serve as a key thought partner to Core Services Product Managers and Engineers, translating complex technical insights into real\-world impact. If you are a resilient, systems\-oriented leader who thrives in high\-stakes environments and is passionate about building a safer future for our global community, this is where you’ll grow. * Lead and mentor a global team of scientists to deliver high\-quality output that directly improves safety outcomes for all users on the Uber platform. * Own the full science lifecycle on high\-visibility projects, navigating the ambiguity of experimental design, causal inference, and product iteration. * Collaborate cross\-functionally with Product, Engineering, and Operations teams to identify new safety opportunities and drive execution through technical leadership. * Build and scale robust modeling and monitoring systems, managing the trade\-offs between speed of delivery and long\-term system reliability. * Foster a culture of technical excellence and continuous learning, ensuring the team stays ahead of industry trends in risk and safety science. Communicate complex scientific findings to non\-technical stakeholders to influence product roadmaps and strategic business decisions. * * 9\+ years of industry experience as an Applied or Data Scientist * Specialized background or domain expertise in safety, risk management, or fraud detection. * Experience leading global teams across multiple time zones in a fast\-paced technology environment. Strong systems thinking approach to solving architectural gaps and reducing technical debt across teams. * Work Location: Hyderābād, India Availability: Full time

Basic Qualifications * Ph.D., M.S., or Bachelor’s degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields (or equivalent professional experience). * Minimum 7 years of industry experience in data science or applied analytics. * 3 years of experience directly managing a team of scientists, with a proven ability to define clear team structures and hire the right skills. * Experience actively shaping roadmaps and forming a long\-term vision for a scientific organization. * Proven track record of executing complicated projects and landing impact felt at the organizational level * Demonstrated ability to hold an entire organization accountable for execution and maintaining a high bar for performance. * Proficiency in Python or R for large\-scale data manipulation and modeling. Experience in experimental design, causal analysis, and the development of machine learning models. * Preferred Qualifications You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Key Skills: Machine Learning, Python Salary: Not disclosed