Data Scientist I, US - Risk & Fraud

Uber

Uber is seeking a Decision Scientist to join their team dedicated to maintaining the platform's integrity by mitigating risk and fraud. The role involves leveraging analytical skills to identify and address emerging challenges, ensuring the seamless operation of services. As a collaborative member of multi-disciplinary teams, the candidate will drive significant impact on key metrics such as detection rates and false positive optimization.

In this role you can expect to have the responsibilities:

• Conduct statistical analysis to understand behaviors and support detection models
• Develop and maintain rules aimed at combating fraudulent activities
• Analyze large datasets to formulate fraud prevention strategies
• Engage with cross-functional teams on prevention projects
• Communicate findings to influence business decisions
• Develop expertise with guidance from a manager

This role comes with the following benefits:

• Participation in Uber's bonus program
• Eligibility for an equity award
• Access to various benefits available for US-based roles

This role requires you to have:

• Minimum of 2 years experience in data-focused roles
• Proficiency in SQL and statistical analysis languages
• Experience in hypothesis testing and statistical modeling
• Ability to define and communicate performance metrics

You would benefit from having:

• Advanced degree in a quantitative discipline
• Background in Risk or Fraud
• Experience in data engineering and pipeline creation
• Critical thinking and problem-solving skills
• Good communication skills

Candidates should be comfortable working in a dynamic and self-directed environment while handling ambiguity effectively.