Manager Ii • Lead

Who you are

You have over 3 years of experience leading high-performing teams of applied scientists and machine learning engineers, guiding them to solve complex problems at the intersection of optimization, econometrics, and causal inference. Your strong foundation in experimentation and marketplace dynamics enables you to deliver significant business value in a fast-paced environment. You excel in collaborating with cross-functional partners, ensuring that the roadmap you create is both inspiring and executable. As a mentor, you are committed to growing a best-in-class data science team, serving as a role model within the science organization.

Desirable

A PhD in Economics, Operations Research, Statistics, or a similar technical field would be a significant asset. You bring 5+ years of experience leading teams focused on large-scale marketplaces, demonstrating strong product ownership and a proven track record of using experimentation and causal inference to drive results.

What you'll do

In this role, you will lead a high-performing team of data scientists dedicated to optimizing Uber's global airports business. You will own all scientific aspects, including driver dispatch, rider and driver pricing, and user experience. Your leadership will guide the next chapter of algorithmic and product development, ensuring that data-driven changes are effectively implemented. You will collaborate closely with engineering, product, and business stakeholders to create a roadmap that aligns with Uber's strategic goals. Mentoring your team will be a key responsibility, as you help them grow and develop their skills in a supportive environment.

What we offer

Uber fosters a culture of collaboration and innovation, providing an environment where you can make a significant impact on one of the largest marketplaces in the world. You will have the opportunity to work with a diverse team of talented professionals, all committed to pushing the boundaries of what is possible in the transportation industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Expect a workplace that prioritizes your growth and development, with opportunities for advancement within the organization.