Uber Graduate Decision Scientist United States 

United States, West Virginia 

552392464

About the Role

Join our team as a Decision Scientist and play a crucial role in safeguarding the integrity of the Uber platform. You will use your data-driven expertise to identify, analyze, and mitigate emerging fraud trends. Through statistical analysis and creative problem-solving, you will help design robust strategies to minimize losses while ensuring operational efficiency and a seamless user experience.

In this role, you’ll collaborate closely with engineers, product managers, fellow decision scientists, and operations managers. You’ll focus on optimizing key performance metrics related to detection accuracy and false positive rates. Your analytical prowess and business acumen will directly drive data-informed decisions and shape the future of risk management at Uber.

What You’ll Do

• Perform statistical analysis to understand behaviours and contribute to detection models/features
• Build and maintain rules to address evolving fraudulent activities
• Extract insights from large datasets to develop fraud mitigation strategies
• Build deep understanding of data, reporting, and key metrics
• Conduct to and optimize mitigation solutions
• Collaborate with global cross-functional teams on prevention projects
• Effectively communicate findings to drive business decisions
• With guidance from manager, define and develop an area of expertise

Basic Qualifications

• Completing or recently completed an M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
• Exceptional proficiency in and statistical analysis languages (SQL, R, or similar)
• Proven track record of leveraging advanced analytical techniques and statistical methods to solve complex, real-world problems
• Experience in hypothesis testing and statistical modeling
• Expertise in defining, measuring, and communicating performance metrics that drive business impact
• A natural problem-solver with a passion for critical thinking and a "get things done" mindset
• Good communication skills and the ability to articulate technical concepts to diverse stakeholders
• Comfortable with ambiguity and capable of thriving in a dynamic, self-directed environment

Preferred Qualifications

• Advanced degree in a quantitative field such as Statistics, Mathematics, Operations Research, Economics, or a related discipline
• Minimum of 2 years of experience in a data-focused role, such as data science, analytics, management, or business intelligence
• Prior background in Risk or Fraud
• Data engineering/pipeline creation experience

For San Francisco, CA-based roles: The base salary range for this role is USD$124,000 per year - USD$130,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$124,000 per year - USD$130,500 per year.