Manager II, Science - Delivery Logistics

About the role and team

The Delivery Logistics team builds real-world technology that powers our global marketplace. Our team of scientists works on diverse problems, including building real-time backend matching systems, creating new delightful user experiences, and serving predictions used for decision making across the marketplace.

 
Uber operates in a constantly-evolving and competitive environment, and our success requires a deep understanding of our marketplace and the ability to build products that scale on a global footprint. In this Science Manager role, you will lead an essential team driving significant marketplace influence and business impact.
 

What you’ll do

• Solve ambiguous, challenging business problems using data-driven approaches
• Work closely with multi-functional leads to develop a technical vision and drive team direction
• Develop new methodologies for data science including modeling, coding, analytics, optimization, and experimentation
• Present findings to business leaders to inform decisions
• Design product experiments and interpret the results to draw detailed and impactful conclusions

Basic Qualifications 

• Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
• 7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.).
• Minimum 2 years of experience directly managing a team of scientists, with a proven ability to define clear team structures and build teams.
• Excellent communication and collaboration skills: Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
• Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models
• Experience designing experiments and interpreting the results to draw detailed and actionable conclusions across a variety of key performance indicators

Preferred Qualifications

• 9+ years of industry experience as an Applied or Data Scientist
• 5+ years of experience leading high-performing science teams in a marketplace, ride-sharing, or delivery platform.
• Experience in leading key technical projects and substantially influencing the scope and output of others
• Thought leadership to drive cross-functional projects from concept to production.
• Knowledge of reinforcement learning, optimization algorithms, or econometrics.
• Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala