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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.
Job Responsibility:
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
Help build AI/ML governance
Requirements:
Deeply proficient in doing data analysis in Python
Proficient with SQL
Nice to have:
Experience conducting data science in the area of demographic disparities, especially in contexts where causal inference is challenging
Experience conducting data science in high-stakes settings, like litigation
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan