Manager II, Science - Delivery Logistics

Uber; New York (NY); On-site; USD 216,000 - 240,000; Full time

Job summary

Uber is seeking a Science Manager to lead a world-class delivery logistics data science team in New York. You will drive quantitative research, build scalable modeling and experiment frameworks, and partner with product leaders to shape strategy with data-driven insights.

The role requires a strong background in economics or quantitative fields, 7+ years of industry experience, and proven leadership in managing scientists. In-office collaboration is emphasized for most roles.

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

Responsibilities

• 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

Skills

Leadership

Python

Experimentation design

Communication

Data science methods

Education

PhD, MS, or BA/BS in quantitative field

Tools

Python

Job description

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
  

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity 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.

For New York City, NY-based roles: The base salary range for this role is USD $216,000 per year - USD $240,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.