About the role:
You will be leading a hardworking team of data scientists to support safety initiatives to make rare safety events even rarer. The role will partner closely with Safety and Insurance product management, operations, engineering, and regional teams to conduct deep analysis, design and analyze experiments, and support development of machine learning models to make our platform as safe as possible for all users. You will play an influential role in helping drive critical product and policy decisions.
What you will do:

• Build and develop a high-performing analytics team while helping hold the quality bar for analytical output by the team
• Collaborate cross-functionally across technical and non-technical partners to identify and improve safety-related processes
• Present findings to business leaders to inform decisions
• Seek and tackle ambiguous, meaningful business problems using data-driven approaches
• Manage partners including senior management and multi-functional teams
• Anticipate the analytic needs of stakeholders and work with business partners to surface the appropriate information
• Perform deep-dive analysis to discover root causes for safety issues and changes in trends
• Support statistical and machine learning efforts including modeling, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more.

Minimum qualifications:

• Ph.D., MS or Bachelors degree in, Statistics, Economics, Machine Learning, Operations Research, Computer Science or other quantitative field
• 6 years of industry experience working as an applied/data scientist or similar
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
• Knowledge of experimental design and analysis
• Experience with exploratory data analysis, statistical analysis and testing, and model development
• Ability to use a language like Python or R to work efficiently at scale with large data sets
• Proficiency in languages and tools like SQL, Hive, and Spark

Preferred Qualifications:

• 3 years of successfully leading and building robust data science and analytics teams
• End-to-end experience with machine learning development
• Experience with supporting planning using the OKR framework

For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .
Uber is proud to be an Equal Opportunity/Affirmative Action 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 .
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.