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Applied Scientist, Economist - Marketplace Fairness

Data Scientist, Data Science
New York, New York |
San Francisco, California
Full Time

About the Role

The Marketplace Fairness Team is an applied science policy team that assesses bias in products, projects, and machine learning models. The team’s work typically comprises deep, long-term investigations into potential fairness concerns on the platform. It works with product and data science teams to understand a product, and it works with legal and policy teams to translate policy concerns into quantitative analysis. Areas of focus include safety products, earner deactivations, marketplace dynamics across neighborhoods, and implementation of Responsible AI principles.

Responsibilities

  • Conduct deep investigations into the platform and across products
  • 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

---- Basic Qualifications ----

  1. Deeply proficient in doing data analysis in Python
  2. Proficient with SQL

---- Preferred Qualifications ----

  1. PhD in Economics.
  2. Exceptional verbal and written communication skills, with ability to collaborate cross-functionally and translate technical findings for non-technical audiences.
  3. Ability to proactively identify research questions relevant to business or policy.
  4. Project management skills and experience working in a cross-functional environment with legal, policy, and business leaders.
  5. Passion for making Uber’s platform work better for all types of users.
  6. Minimum 1 year of quantitative research or data science experience.
  7. Strong data skills and experience with tools such as SQL, Python, and R to work efficiently at scale.
  8. Ability to work independently and execute a research plan with minimal oversight
  9. Strong verbal and written communication skills and the ability to synthesize research results into clear, actionable insights accessible to broad audiences.

For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

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. 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.

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.


See our Candidate Privacy Statement

Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.

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选择首选语言

阿拉伯语, العربية阿萨姆语, অসমীয়া阿塞拜疆语, Azərbaycanca保加利亚语, Български孟加拉语, বাংলা加泰罗尼亚语(西班牙), Català (Espanya)捷克语, Čeština丹麦语, Dansk德语, Deutsch希腊语, Ελληνικά英语, English西班牙语, Español (Internacional)西班牙语, Español (Argentina)西班牙语, Español (Chile)西班牙语, Español (Colombia)西班牙语, Español (Costa Rica)欧洲西班牙语, Castellano西班牙语, Español (Honduras)西班牙语, Español (México)西班牙语, Español (Uruguay)爱沙尼亚语, Eesti芬兰语, Suomi加拿大法语, Français (Canada)法语, Français (France)希伯来语, עברית印地语, हिन्दी克罗地亚语, Hrvatski匈牙利语, Magyar印度尼西亚语, Bahasa Indonesia意大利语, Italiano日语, 日本語格鲁吉亚语, ქართული卡纳达语, ಕನ್ನಡ韩语, 한국어库尔德语, کوردی立陶宛语, Lietuvių拉脱维亚语, Latviešu马拉雅拉姆语, മലയാളം马拉地语, मराठी书面挪威语, Norsk Bokmål尼泊尔语, नेपाली荷兰语, Nederlands旁遮普语, ਪੰਜਾਬੀ波兰语, Polski巴西葡萄牙语, Português (Brasil)欧洲葡萄牙语, Português (Portugal)罗马尼亚语, Română俄语, Русский僧伽罗语(斯里兰卡), සිංහල斯洛伐克语, Slovenčina斯洛文尼亚语(斯洛文尼亚), Slovenščina瑞典语, Svenska斯瓦希里语, Kiswahili泰米尔语, தமிழ்泰卢固语, తెలుగు泰语, ไทย土耳其语, Türkçe乌克兰语, Українська乌尔都语, اردو越南语, Tiếng Việt中文, 简体中文中文(中国香港特别行政区), 香港中文中文(台湾), 繁體中文