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Senior Data Scientist - Safety

Data Science, Engineering em Sao Paulo, Brazil

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

 

 

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.

As a data scientist on the Safety Data Science team you will have the opportunity to take on 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 aims to make rare events even rarer. It is an incredibly challenging, stimulating, and, most of all, rewarding 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 tackle 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 inform and influence product, engineering, and operations efforts 

 

What You’ll Need

 

  • We are hiring for all levels of expertise - whether you have 1 year or 20 years of experience, we have problems with the difficulty and scale that will challenge you
  • Solid 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 big plus
  • Previous experience in safety or risk a plus
  • Demonstrable familiarity with code and programming concepts
  • Experience with production systems or mobile signal processing are a plus
  • Experience with systems like Spark, Hive, SQL, or stream processing are a plus
  • Great communication skills, organized, able to multitask and be a team player
  • Balance attention to detail with swift execution
  • Hunger and drive to learn complex topics
  • Enthusiasm about Uber and the riders, drivers and markets we serve!

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.


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Na Uber, não só aceitamos as diferenças como também elas são celebradas, apoiadas e aproveitadas para benefício de nossos funcionários, produtos e comunidade. A Uber tem orgulho de ser um local de trabalho com oportunidades iguais e um empregador de ação afirmativa. Estamos comprometidos com oportunidades iguais de emprego, independentemente da raça, cor, ascendência, religião, sexo, nacionalidade, orientação sexual, idade, cidadania, estado civil, deficiência, identidade de gênero ou status de veterano.