Manager II, Science - Earner (Economics)

•About the Role•Earners (drivers and couriers) are an integral part of Uber's multi-sided marketplace. They provide the time and the means to move people and things. Importantly, they enable the connection between the physical and digital world to make the movement happen at the push of a button for everyone, everywhere. Within Uber, the Earner team plays a critical role in earners' journey as the team is responsible for earner onboarding, activation, early life cycle, and resurrection. This presents the teams with the opportunity to shape and tailor the product experience during earners' many firsts (i.e., first time interacting on the Uber platform, choosing the earning opportunity, going online, receiving incentive offers, completing a trip, or reading the earnings summary). These firsts can be daunting. Therefore, making sure that the earner journey is great at every touch point is important to build trust with Earners, communicate Uber's value proposition, and ensure each firsts to be a great experience. As a Science Manager, you will play a pivotal role in shaping the future of Earners at Uber. Partnering closely with Engineering and Product leadership, you will drive the strategic vision and execution of Earner related product development with a team of Scientists who work on complex product and lifecycle analysis, experimentation, measurement foundations, and modeling. •What You'll Do•+ Lead a global team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact. + Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our Earners, and our business. + Develop and execute robust experimental designs and insightful analyses to shape the product strategy, proactively identifying and mitigating potential challenges. + Develop and implement cutting-edge statistical, analytical, and ML solutions to enhance and personalize overall Earner experience. + Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability. •Basic Qualifications•+ Ph.D., M.S. or Bachelors degree in Economics, Operations Research, Statistics, Mathematics, Engineering, Computer Science or other quantitative fields. + Minimum 7 years of industry experience as a Scientist or equivalent (4+ if holding a PhD) + Experience with exploratory data analysis, statistical analysis and testing (experimentation) and causal analysis + Minimum 1 year of experience in leading, mentoring or managing a team of Applied / Data Scientists with strong people leadership skills including growing and mentoring your team members + Proficiency using Python or R at scale with large data sets in a production environment. •Preferred Qualifications•+ Experience working in a marketplace or ridesharing industry + 3 years+ of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members + Expertise in economics or ML model development For New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform