**About the Role** The Marketplace Fairness Team is an applied science policy team that assesses bias in products, projects, and machine learning models. It works closely with legal and policy stakeholders to conduct, present, and interpret these tests. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- - Conduct fairness testing to assess products, projects, or machine learning models for bias. - Present results to lawyers, leadership, and the people who create these products \-\-\-\- Basic Qualifications ---- - Deeply proficient in using Python, R, or both - Data Analysis Experience - Comfortable with SQL \-\-\-\- Preferred Qualifications ---- - Experience conducting data science in the area of racial disparities, especially in contexts where causal inference is challenging For New York, NY-based roles: The base salary range for this role is USD$131,000 per year - USD$138,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$131,000 per year - USD$138,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber is proud to be an Equal Opportunity/Affirmative Action 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.