Applied Scientist, Economist - Marketplace Fairness

Uber Uber · Consumer · New York, NY +1 · Data Science

Applied Scientist role focused on assessing bias in products, projects, and machine learning models within Uber's marketplace. The role involves deep investigations, fairness testing, and contributing to AI/ML governance, working closely with legal, policy, and product teams.

What you'd actually do

  1. Conduct deep investigations into the platform and across products
  2. Conduct fairness testing to assess products, projects, or machine learning models for bias.
  3. Present results to lawyers, leadership, and the people who create these products
  4. Help build AI/ML governance

Skills

Required

  • data analysis in Python
  • SQL

Nice to have

  • PhD in Economics
  • quantitative research
  • data science experience
  • Python
  • R
  • project management
  • collaboration
  • communication

What the JD emphasized

  • fairness testing
  • Responsible AI principles
  • AI/ML governance

Other signals

  • fairness testing
  • Responsible AI principles
  • AI/ML governance