
Data Scientist I - Delivery Payments Risk
Are you ready to join a fast-paced and dynamic team at one of the world's leading technology companies? Uber is seeking a highly motivated and talented individual to fill the role of Data Scientist I - Delivery Payments Risk. As a member of our team, you will have the opportunity to use your analytical skills and expertise to drive decision making and mitigate risk in our delivery payments system. This is a unique opportunity to make a significant impact on the growth and success of Uber's global operations. If you have a passion for data, a strong understanding of risk management, and a desire to continuously learn and innovate, we want to hear from you!
- Conduct data analysis and develop statistical models to identify and assess potential risks in Uber's delivery payments system.
- Collaborate with cross-functional teams, including engineers and product managers, to implement risk mitigation strategies based on insights from data analysis.
- Monitor and track key performance indicators related to risk in the delivery payments system, providing regular reports and updates to stakeholders.
- Continuously evaluate and improve existing risk management processes and procedures, staying up-to-date on industry best practices.
- Utilize advanced data analysis techniques to identify patterns and trends in large datasets, providing valuable insights to inform business decisions.
- Conduct thorough research and stay informed on emerging trends and developments in the areas of data science and risk management.
- Communicate complex data and risk concepts to non-technical stakeholders in a clear and concise manner.
- Collaborate with other data scientists and analysts to develop and implement machine learning models for risk prediction and prevention.
- Maintain a strong understanding of Uber's business goals and objectives, and use data and analysis to drive decision making in support of those goals.
- Act as a subject matter expert on risk management and data analysis, providing guidance and support to other team members as needed.
Bachelor's Or Master's Degree In A Relevant Field Such As Data Science, Statistics, Computer Science, Or Mathematics.
Minimum Of 2-3 Years Of Experience In Data Analysis, Statistical Modeling, And Machine Learning.
Proficiency In Programming Languages And Tools Such As Python, R, Sql, And Data Visualization Tools.
Knowledge Of Payment Systems And Experience Working With Large Datasets Related To Payment Transactions.
Strong Problem-Solving Skills And Ability To Use Data To Drive Business Decisions And Mitigate Risk In The Delivery Payments Process.
Programming
Data Analysis
Time Management
Machine Learning
Data Visualization
Data Mining
Statistical modeling
Risk assessment
Predictive analytics
Payment processing
Problem-Solving
Fraud detection
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Scientist I - Delivery Payments Risk in São Paulo, State of São Paulo, Brazil is between R$9,000 to R$13,000 per month. However, this can vary depending on factors such as experience, skills, and the specific company or organization.
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Uber Technologies, Inc. is an American multinational transportation network company offering services that include peer-to-peer ridesharing, ride service hailing, food delivery, and a bicycle-sharing system. The company is based in San Francisco and has operations in over 785 metropolitan areas worldwide.

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