Decision Scientist for Risk and Fraud
Uber
- São Paulo - SP
- Permanente
- Período integral
- Perform statistical analysis to understand fraud behaviours and contribute to detection models/features
- Build and maintain fraud rules to address evolving fraudulent activities
- Extract insights from large datasets to develop fraud mitigation strategies
- Build deep understanding of risk data, reporting, and key metrics
- Conduct experiments to test and optimize risk mitigation solutions
- Collaborate with global cross-functional teams on fraud prevention projects
- Effectively communicate findings to drive business decisions
- With guidance from manager, define and develop an area of expertise
- Immediate availability to work from São Paulo
- English proficiency (B2+)
- Minimum of 5 years of experience in a data-focused role, such as data science, fraud analytics, risk management, or business intelligence
- Exceptional proficiency in SQL and statistical analysis languages (Python, R, or similar)
- Proven track record of leveraging advanced analytical techniques and statistical methods to solve complex, real-world problems
- Experience in experimentation, A/B testing, and statistical modeling
- Expertise in defining, measuring, and communicating performance metrics that drive business impact
- Excellent communication skills and the ability to articulate technical concepts to diverse stakeholders
- A natural problem-solver with a passion for critical thinking and a "get things done" mindset
- Comfortable with ambiguity and capable of thriving in a dynamic, self-directed environment
- Advanced degree in a quantitative field such as Statistics, Mathematics, Operations Research, Economics, or a related discipline
- Data engineering/pipeline creation experience
- Prior background in risk, fraud, or payments