Uber
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Manager II, Science - Search
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Uber 4 days ago Be among the first 25 applicants About This Role
We are looking for a technically adept Science Manager to lead the Search Science team at UberEats. Search is how many users find restaurants, retailers, dishes, and items, making this a critical role for our business growth. The Work Is Unique In a Couple Of Ways
The global scale of UberEats means you and your team will be building solutions that have to generalize across the world, navigating diverse languages, selection conditions and user habits. The Search system also operates at the intersection of users and logistics. Unlike traditional media search, our systems need to account for real-time availability and feasibility constraints of our marketplace. The Science role at Uber also covers the entire spectrum of Data Science. You will build and support a team with diverse skills and take on interesting problems requiring advanced analytics, experimentation, causal inference, ML / RecSys system understanding, ground truth measurement. You will also be at the cutting edge helping us build out advanced Agentic Search capabilities that help customers find / discover products that fulfill their needs. What You'll Do
Lead the team in performing deep-dive analyses to generate actionable insights that influence strategy and execution direction. Design, develop, and own key metrics and dashboards for evaluating the quality of search results and agentic capabilities. Analyze the performance of the search system and underlying ML models to identify optimization opportunities. Design and execute A/B tests and other experimental designs to causally determine the impact of new features, algorithms, and system changes. Partner closely with Product Managers, Engineering, other Scientists and Design teams to translate business needs into technical roadmaps to deliver high-impact solutions. Recruit, mentor, and grow a team of talented Scientists. Communicate complex findings and recommendations to technical and non-technical stakeholders. 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. 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 working with ranking & retrieval systems, e.g. Ads ranking, Home page ranking. Experienced in partnering with cross-functional stakeholders to execute decisions. Compensation
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.
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Manager II, Science - Search
role at
Uber 4 days ago Be among the first 25 applicants About This Role
We are looking for a technically adept Science Manager to lead the Search Science team at UberEats. Search is how many users find restaurants, retailers, dishes, and items, making this a critical role for our business growth. The Work Is Unique In a Couple Of Ways
The global scale of UberEats means you and your team will be building solutions that have to generalize across the world, navigating diverse languages, selection conditions and user habits. The Search system also operates at the intersection of users and logistics. Unlike traditional media search, our systems need to account for real-time availability and feasibility constraints of our marketplace. The Science role at Uber also covers the entire spectrum of Data Science. You will build and support a team with diverse skills and take on interesting problems requiring advanced analytics, experimentation, causal inference, ML / RecSys system understanding, ground truth measurement. You will also be at the cutting edge helping us build out advanced Agentic Search capabilities that help customers find / discover products that fulfill their needs. What You'll Do
Lead the team in performing deep-dive analyses to generate actionable insights that influence strategy and execution direction. Design, develop, and own key metrics and dashboards for evaluating the quality of search results and agentic capabilities. Analyze the performance of the search system and underlying ML models to identify optimization opportunities. Design and execute A/B tests and other experimental designs to causally determine the impact of new features, algorithms, and system changes. Partner closely with Product Managers, Engineering, other Scientists and Design teams to translate business needs into technical roadmaps to deliver high-impact solutions. Recruit, mentor, and grow a team of talented Scientists. Communicate complex findings and recommendations to technical and non-technical stakeholders. 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. 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 working with ranking & retrieval systems, e.g. Ads ranking, Home page ranking. Experienced in partnering with cross-functional stakeholders to execute decisions. Compensation
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.
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