Data Science Manager (Safety Team)

As a Data Science Manager in the Safety and Insurance team, 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 the Candidate 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.

Basic Qualifications

• Ph.D., MS or Bachelors degree in, Statistics, Economics, Machine Learning, Operations Research, Computer Science or other quantitative field
• 7+ years of industry experience working as a data scientist or similar
• 3+ years of successfully leading and building robust data science and analytics teams
• 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
• Great interpersonal skills, self-starter, organized, able to multitask and be a phenomenal teammate
• End to end experience with machine learning development
• Hands-on causal inference analysis experience
• Experience with supporting planning using OKR framework

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.