Science Manager, Real-Time Marketplace Analytics

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

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.