Uber Data Scientist - Fraud 

United States, West Virginia 

618316969

We run product rollouts (e.g. a new user challenge or a new kind of actioning) and implement models built by MLEng.

- - - - What the Candidate Will 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 ----

• Immediate availability to work from São Paulo;

• English proficiency (B2+);

• Advanced proficiency in SQL;

• Experience in a data-focused role, such as data science, analytics or management;
• Proven track record of leveraging advanced analytical techniques and statistical methods to solve complex, real-world problems;
• 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;
• Prior experience in testing, and statistical modeling its a plus;
• Familiarity with Python or R.

- - - - Preferred Qualifications ----

• 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

* 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 .