Uber
Sr Manager, Science, Autonomous Mobility & Delivery
Uber, Sunnyvale, California, United States, 94087
Sr Manager, Science, Autonomous Mobility & Delivery
Join to apply for the
Sr Manager, Science, Autonomous Mobility & Delivery
role at
Uber .
About the Team: At Uber, our mission is to reimagine the way the world moves for the better. The Autonomous Mobility & Delivery team focuses on marketplace dynamics and user experience of autonomous vehicles. We run multiple pilots to integrate autonomous vehicles into our mobility and delivery services, powering a groundbreaking product area that impacts partners, riders, eaters, drivers and the entire marketplace. As a senior science manager, you will lead a group of talented scientists to work on both strategic and pragmatic problems—from marketplace design and partner expansion to performance optimization and adoption—directly contributing to the roadmap of a future‑looking transportation and delivery ecosystem powered by revolutionary technology.
What You’ll Do
Lead and develop a high‑performing team of applied and data scientists focused on AV strategy (partner expansion, hybrid marketplace configuration) and AV adoption (performance, reliability, and integration).
Drive technical direction in partnership with Engineering and Product by identifying opportunities, defining measurement frameworks, and building data‑driven solutions and models to optimize AV deployment.
Advance strategic thinking in marketplace and hybrid marketplace: act as a thought leader in marketplace design, optimization, and ML applications that balance AV and human supply to ensure efficiency and reliability.
Data‑driven problem solving: develop production models, build data foundations for a rapidly evolving product area, and guide the Science and Data Engineering teams to establish instrumentation, observability, and analytical infrastructure.
Influence strategy and communicate impact: collaborate cross‑functionally and present insights, models, and recommendations to senior leadership, shaping Uber’s broader AV roadmap.
Basic Qualifications
Bachelor’s degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
Minimum 8 years of industry experience as an (Applied / Data) Scientist or equivalent (5+ years if holding a Ph.D. degree).
Minimum 3 years of experience managing a team of Applied / Data Scientists with strong people‑leadership skills, growing and mentoring team members.
Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
Proficiency in SQL, Python, and PySpark, working with large‑scale data in production environments.
Demonstrated bias to action and a track record of delivering impact in fast‑paced, ambiguous environments.
Experienced in partnering with cross‑functional stakeholders to execute decisions.
Experience in tech or marketplace industries.
Preferred Qualifications
Ph.D. or M.S. in Computer Science, Engineering, Mathematics or other quantitative fields.
Structured and independent thinking, with the ability to solve ambiguous problems independently.
Entrepreneurial experience in building products from 0 to 1.
Prior experience in autonomous systems, mobility, logistics, or marketplace optimization.
Demonstrated ability to balance long‑term strategic thinking with pragmatic, data‑driven decision‑making.
For San Francisco, CA‑based roles: The base salary range for this role is USD$241,000 per year – USD$268,000 per year. For Sunnyvale, CA‑based roles: The base salary range for this role is USD$241,000 per year – USD$268,000 per year. For all U.S. locations, you will be eligible to participate in Uber’s bonus program and may be offered an equity award and other types of compensation. 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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Sr Manager, Science, Autonomous Mobility & Delivery
role at
Uber .
About the Team: At Uber, our mission is to reimagine the way the world moves for the better. The Autonomous Mobility & Delivery team focuses on marketplace dynamics and user experience of autonomous vehicles. We run multiple pilots to integrate autonomous vehicles into our mobility and delivery services, powering a groundbreaking product area that impacts partners, riders, eaters, drivers and the entire marketplace. As a senior science manager, you will lead a group of talented scientists to work on both strategic and pragmatic problems—from marketplace design and partner expansion to performance optimization and adoption—directly contributing to the roadmap of a future‑looking transportation and delivery ecosystem powered by revolutionary technology.
What You’ll Do
Lead and develop a high‑performing team of applied and data scientists focused on AV strategy (partner expansion, hybrid marketplace configuration) and AV adoption (performance, reliability, and integration).
Drive technical direction in partnership with Engineering and Product by identifying opportunities, defining measurement frameworks, and building data‑driven solutions and models to optimize AV deployment.
Advance strategic thinking in marketplace and hybrid marketplace: act as a thought leader in marketplace design, optimization, and ML applications that balance AV and human supply to ensure efficiency and reliability.
Data‑driven problem solving: develop production models, build data foundations for a rapidly evolving product area, and guide the Science and Data Engineering teams to establish instrumentation, observability, and analytical infrastructure.
Influence strategy and communicate impact: collaborate cross‑functionally and present insights, models, and recommendations to senior leadership, shaping Uber’s broader AV roadmap.
Basic Qualifications
Bachelor’s degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
Minimum 8 years of industry experience as an (Applied / Data) Scientist or equivalent (5+ years if holding a Ph.D. degree).
Minimum 3 years of experience managing a team of Applied / Data Scientists with strong people‑leadership skills, growing and mentoring team members.
Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
Proficiency in SQL, Python, and PySpark, working with large‑scale data in production environments.
Demonstrated bias to action and a track record of delivering impact in fast‑paced, ambiguous environments.
Experienced in partnering with cross‑functional stakeholders to execute decisions.
Experience in tech or marketplace industries.
Preferred Qualifications
Ph.D. or M.S. in Computer Science, Engineering, Mathematics or other quantitative fields.
Structured and independent thinking, with the ability to solve ambiguous problems independently.
Entrepreneurial experience in building products from 0 to 1.
Prior experience in autonomous systems, mobility, logistics, or marketplace optimization.
Demonstrated ability to balance long‑term strategic thinking with pragmatic, data‑driven decision‑making.
For San Francisco, CA‑based roles: The base salary range for this role is USD$241,000 per year – USD$268,000 per year. For Sunnyvale, CA‑based roles: The base salary range for this role is USD$241,000 per year – USD$268,000 per year. For all U.S. locations, you will be eligible to participate in Uber’s bonus program and may be offered an equity award and other types of compensation. 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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