Data Scientist I – Risk & Fraud
| Company | Uber |
|---|---|
| Location | San Francisco, CA, USA, Sunnyvale, CA, USA |
| Salary | $124000 – $130500 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Junior, Mid Level |
Requirements
- Minimum of 2 years of experience in a data-focused role, such as data science, analytics, management, or business intelligence
- Exceptional proficiency in 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
Responsibilities
- 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
Preferred Qualifications
- Advanced degree in a quantitative field such as Statistics, Mathematics, Operations Research, Economics, or a related discipline
- Prior background in Risk or Fraud
- Data engineering/pipeline creation experience
- 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