Data Science Manager (Safety Team)

Full time

Employment Information

Job levelSenior level

IndustryInternet Marketplace Platforms

Experience7+ years

LocationSao Paulo, Brazil

The position you were interested in has been filled or expired, but we invite you to explore other exciting job openings on our platform to find your next career opportunity.

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.