Data Scientist I, US - Risk & Fraud

Uber

San Francisco, CA

Full Time

Mid Level

124k-131k

14 days ago

Job Description

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 leverage your data-driven expertise to identify, analyze, and mitigate emerging trends. Through statistical analysis and creative problem-solving, you will contribute to the development of robust strategies that minimize 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 detection and false positives optimization. Your analytical prowess and business acumen will be instrumental in driving data-informed decisions and shaping the future of management at Uber.

Key Responsibilities

Perform statistical analysis to understand behaviors 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

Requirements

Minimum of 2 years of experience in a data-focused role, such as data science, analytics, management, or business intelligence
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

Nice to Have

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

Qualifications

Minimum of 2 years of relevant experience
Proficiency in SQL, R, or similar statistical analysis languages

Benefits & Perks

Base salary range of USD$124,000 to USD$130,500 depending on location
Eligibility to participate in Uber's bonus program
Potential for equity awards and other compensation
Various benefits as detailed at https://www.uber.com/careers/benefits

Working at Uber

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Uber values collaboration and maintains a strong cultural identity centered around office presence, with expectations for employees to spend at least half of their work time in their assigned office unless fully remote work is approved.

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