Sr Data Scientist

About the Team

The Safety Engineering team uses real-time telematics and motion sensing technologies along with multi-faceted machine learning algorithms and user-facing mobile products to reduce and prevent unsafe driving and behavior on the Uber platform. The team is building low-latency data streaming infrastructure that ingests terabytes of data daily before applying statistical modeling and signal processing algorithm, NLP auditing as well as facial biometrics recognition solutions. Our work touches all parts of the Uber experience from dispatch to on-trip and post-trip, as well as Uber's entire ecosystem ranging from our rides business to other newer Uber marketplaces, and ventures.

As a data scientist on the Safety Data Science team, you will have the opportunity to seek some of the hardest problems in all of Uber: improving the safety of cities and people all over the world. You will develop expertise and insights in a team that seeks to make rare events even rarer. It is an outstandingly relevant, stimulating, and, most of all, exciting endeavor.

This data scientist will be based at Uber’s New Technology Development Center in Sao Paulo (Brazil). This is a critical and integral opportunity with Uber. This team has long and successful relationships with our Machine Learning Platform, Insurance, Safety Research, Trust and Risk, Operations, all of our regional teams, and many other parts of Uber.

What You’ll Do

• Master safety-related data, risk factors, and outcomes in high and low resolution, such as before, during, and after a trip, and at coarser aggregations or spans of time and geography
• Develop and lead statistical and machine learning efforts in relation to your projects. Our projects leverage machine learning, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more. We’ll give you as many challenges as you can seek and help you grow to take on more
• Leverage large scale data processing such as Spark, Hive, and Uber’s proprietary machine learning platform, and more
• Work with sensor and telematics data such as GPS and phone accelerometer & gyroscope data
• Conduct original analyses to advise and influence product, engineering, and operations efforts

What You’ll Need

• We are hiring for all levels of expertise, we have problems with the difficulty and scale that will challenge you
• Proven expertise and creativity in the application of machine learning and statistics
• Expertise with R or Python
• Experience as a data scientist at a company with global operations is a huge plus
• Previous experience in safety or risk is a plus
• Proven familiarity with code and programming concepts
• Experience with production systems or mobile signal processing is a plus
• Experience with systems like Spark, Hive, SQL, or stream processing is a plus
• Great interpersonal skills, organized, able to multitask and be a great teammate
• Balance attention to detail with swift execution
• Passion about Uber and the riders, drivers, and markets we serve!

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.