Vaga de Decision Scientist for Risk and Fraud
1 vaga: | Publicada em 11/05
- A Combinar
Sobre a vaga
About the Role
Join our team as a Risk Decision Scientist and play a crucial role in safeguarding
the integrity of the Uber platform. In this global position, you will leverage
your data-driven expertise to identify, analyze, and mitigate emerging fraud
trends. Through statistical analysis and creative problem-solving, you will
contribute to the development of robust strategies that minimize fraud losses
while ensuring operational efficiency and a seamless user experience.
Collaborating with cross-functional teams comprising engineers, product managers,
fellow decision scientists, and operations managers, you will be responsible for
key performance metrics related to fraud detection and false positives
optimization. Your analytical prowess and business acumen will be instrumental in
driving data-informed decisions and shaping the future of risk management at Uber.
While experience with machine learning techniques is a valuable asset, this role
primarily focuses on statistical analysis, fraud detection, and risk management
rather than specific model development or deployment.
What You'll Do:
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
What You'll Need:
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
Bonus Points If You have:
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
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 lets move the
world forward, together.
Offices continue to be central to collaboration and Ubers 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