Manager II, Applied Science

Uber; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Uber is seeking a Manager II of Applied Science for Safety to lead a global team of data and applied scientists focused on rider and earner safety on our platform. You will own the end-to-end science lifecycle for high-visibility projects, from analysis and causal inference to deployment and production monitoring at massive scale.

You will bridge Product Managers and Engineers, translating complex insights into real-world product impact.

Qualifications

• Ph.D., MS, or bachelor’s degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields (or equivalent professional experience).
• Minimum 7 years of industry experience in data science or applied analytics.
• Minimum 3 years of experience directly managing a team of scientists, with a proven ability to define clear team structures and hire the right skills.
• Experience actively shaping roadmaps and forming a long-term vision for a scientific organization.
• Proven track record of executing complicated projects and landing impact felt at the organizational level
• Demonstrated ability to hold an entire organization accountable for execution and maintaining a high bar for performance.
• Proficiency in Python or R for large-scale data manipulation and modeling.
• Experience in experimental design, causal analysis, and the development of machine learning models.

Responsibilities

• Lead and mentor a global team of scientists to deliver high-quality output that directly improves safety outcomes for all users on the Uber platform.
• Own the full science lifecycle on high-visibility projects, navigating the ambiguity of experimental design, causal inference, and product iteration.
• Collaborate cross-functionally with Product, Engineering, and Operations teams to identify new safety opportunities and drive execution through technical leadership.
• Build and scale robust modeling and monitoring systems, managing the trade-offs between speed of delivery and long-term system reliability.
• Foster a culture of technical excellence and continuous learning, ensuring the team stays ahead of industry trends in risk and safety science.
• Communicate complex scientific findings to non-technical stakeholders to influence product roadmaps and strategic business decisions.

Skills

Leadership

Team management

Cross-functional collaboration

Communication to stakeholders

Causal inference

Education

PhD/MS/Bachelors in quantitative fields

Tools

Python

R

Job description

Job Description

About the role and team

Leading at Uber means setting direction in motion, not waiting for perfect conditions. As a Manager II of Applied Science for Safety, you will lead a global team of data and applied scientists dedicated to one of our most critical missions: ensuring the safety of every rider and earner on our platform. You will own the end-to-end science lifecycle for high-visibility projectsfrom deep-dive analysis and causal inference to the messier reality of deploying and monitoring models in a production environment at massive scale.

This role requires a leader who can navigate the tension between rapid product iteration and the rigorous scientific standards necessary for safety-critical systems. You will serve as a key thought partner to Core Services Product Managers and Engineers, translating complex technical insights into real-world impact. If you are a resilient, systems-oriented leader who thrives in high-stakes environments and is passionate about building a safer future for our global community, this is where youll grow.

What youll do

• Lead and mentor a global team of scientists to deliver high-quality output that directly improves safety outcomes for all users on the Uber platform.
• Own the full science lifecycle on high-visibility projects, navigating the ambiguity of experimental design, causal inference, and product iteration.
• Collaborate cross-functionally with Product, Engineering, and Operations teams to identify new safety opportunities and drive execution through technical leadership.
• Build and scale robust modeling and monitoring systems, managing the trade-offs between speed of delivery and long-term system reliability.
• Foster a culture of technical excellence and continuous learning, ensuring the team stays ahead of industry trends in risk and safety science.
• Communicate complex scientific findings to non-technical stakeholders to influence product roadmaps and strategic business decisions.

Basic Qualifications

• Ph.D., M.S., or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields (or equivalent professional experience).
• Minimum 7 years of industry experience in data science or applied analytics.
• Minimum 3 years of experience directly managing a team of scientists, with a proven ability to define clear team structures and hire the right skills.
• Experience actively shaping roadmaps and forming a long-term vision for a scientific organization.
• Proven track record of executing complicated projects and landing impact felt at the organizational level
• Demonstrated ability to hold an entire organization accountable for execution and maintaining a high bar for performance.
• Proficiency in Python or R for large-scale data manipulation and modeling.
• Experience in experimental design, causal analysis, and the development of machine learning models.

Preferred Qualifications

• 9+ years of industry experience as an Applied or Data Scientist
• Specialized background or domain expertise in safety, risk management, or fraud detection.
• Experience leading global teams across multiple time zones in a fast-paced technology environment.
• Strong systems thinking approach to solving architectural gaps and reducing technical debt across teams.