2025 Applied Scientist internship, Brazil

2 semanas atrás


Greater São Paulo Area, Brasil Uber Tempo inteiro R$15.000 - R$25.000 por ano

About The Internship
We're looking for an Applied Scientist intern to join our Safety and Insurance team to provide data expertise as we work to make this world a safer place to move around.

The team works closely with partners to build new product features, implement machine learning algorithms, and optimize safety policies to help reduce safety incidents and make it safer for riders, drivers, eaters, restaurants, and all people who use Uber's platform.

This team pursues some of the hardest problems in all of Uber: improving the safety of cities and people all over the world. This position focuses on algorithmic solutions to understanding and improving interpersonal safety.

We use real-time telematics and motion sensing technologies along with machine learning algorithms and user-facing mobile products in order to prevent unsafe behaviors on the Uber platform.

The team's work touches all parts of the Uber experience from dispatch to on-trip and post-trip, as well as the Uber ecosystem ranging from our rides business to other newer Uber marketplaces, and ventures.

In this role, you will get to work closely with our product and design teams to build intuitive experiences and ship efficient, reliable, crash-free code that reaches millions of users.

With #standforsafety being a company priority, our team is uniquely positioned to define what it means to be a safe ride sharing/delivery platform and in the process, making safety a key competitive advantage for our brand.

What You'll Do

  • Work with a mentor closely to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
  • Perform deep-dive analyses to discover root causes for safety issues and changes in trends
  • Present findings to leaders to inform decisions
  • Support statistical and machine learning efforts including modeling, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more
  • Pull data for analysis, build readouts for scientific experiments, opportunity sizing analyses, rule creation, review work by team members, and present results to the team.

*Basic Qualifications*

  • Education: Enrolled in a Bachelor's or Master's degree program for the full duration of the internship
  • Graduation : Expected graduation date between July and December 2026
  • Skills: SQL, Analytics, programming languages(Python and R), Excel and Statistics
  • English proficiency: Able to present ideas in a comprehensive, yet succinct manner
  • Available to start in Q4/ 2025* and work 30 hours a week for 12 months - hybrid mode (mandatory to be Monday & Wednesday @ the office in Sao Paulo city)

*Preferred Qualifications*

  • Communication : Using interpersonal skills and situational awareness to clearly deliver information to a variety of audiences
  • Skills: SQL; Strong data analytics; experimentation (e.g. Metric Identification, Impact Measurement, etc.); Precision and Recall
  • Planning and Organization : Setting up and maintaining systems to appropriately structure and keep track of tasks and projects
  • Problem Solving : Effectively resolving issues that involve people, things, and processes by using logic and common sense
  • Stakeholder Management : Taking time to build meaningful relationships; earning the trust of others within the organization through strong situational awareness and reliability
  • Teamwork : Demonstrates optimism, respects others, and works well in a team

Internship @ Uber
We offer a competitive monthly internship allowance, Uber credits and much more

You have the rare chance to create a global impact - we're moving real people and assets and reinventing transportation and logistics. We offer expansive mentorship from Uber employees to guide you through your internship experience and for you to build personal connections and friendships with hardworking people who share your passion for technology



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