Uber Manager II Science - Search 

United States, West Virginia 

822731944

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.

• 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.

• 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.

• 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.