**About the Role** As a Science Manager for Uber Eats (UE) Search, you will play a pivotal role in shaping the future of search experiences within the UE platform. Partnering closely with Engineering and Product leadership, you will drive the strategic vision and execution of search-related product development. In this role, you will: + Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability. + 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 machine learning, statistical, and analytical solutions to enhance search relevance, ranking, and overall user experience. + Leverage data-driven insights and algorithmic expertise to guide the team's direction and balance short-term execution with long-term innovation. + Lead a team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact. **What You'll Do** + Lead a team of Applied and Data Scientists + Actively participate and contribute in the end-to-end process of experimental design, execution, and analysis + Work closely with Engineering and Product leads to develop technical vision and drive the team direction through identifying opportunities and building data-driven solutions. + Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions. + Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis. + Communicate with leadership and cross-functional teams, including presentation of the Science team's work on models, solutions, and data analytics findings. **Basic Qualifications** + Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields. + Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree). + Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. + Minimum 1 year of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members + Experience with tools like SQL or R in a production environment. + Bias to action and proven track record of getting things done. + Proficiency using Python, pySpark at scale with large data sets. + Experienced in partnering with cross-functional stakeholders to execute decisions. + Experience in tech or marketplace industries. **Preferred Qualifications** + PhD or equivalent in Computer Science, Engineering, Mathematics or other quantitative fields. + 9+ years of industry experience as an (Applied / Data) Scientist or equivalent (7+ years if holding a Ph.D. degree). + 2+ years of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members. + Experience in Search and Recommendation domains For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/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