FAQs
What is the main focus of the Marketplace Fairness Team?
The main focus of the Marketplace Fairness Team is to assess bias in products, projects, and machine learning models, working closely with legal and policy stakeholders.
What kind of testing will I be conducting in this role?
You will be conducting fairness testing to assess products, projects, or machine learning models for bias.
Who will I present the results of my testing to?
You will present the results to lawyers, leadership, and the people who create these products.
What programming languages should I be proficient in for this role?
You should be deeply proficient in using Python, R, or both.
Is data analysis experience required for this position?
Yes, data analysis experience is a requirement for this position.
Will I need to use SQL in this role?
Yes, you should be comfortable with SQL.
What is preferred experience for candidates applying to this role?
Preferred experience includes conducting data science work in the area of racial disparities, particularly in contexts where causal inference is challenging.
What is the salary range for this role?
The base salary range for this role is USD$131,000 per year - USD$138,000 per year, whether based in New York, NY or San Francisco, CA.
Are there additional compensation or benefits provided?
Yes, you will be eligible to participate in Uber's bonus program, may be offered an equity award and other types of compensation, and will have access to various benefits.
Where can I find more details about the benefits offered?
More details about the benefits can be found at the following link: https://www.uber.com/careers/benefits.