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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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阿拉伯文, العربية阿薩姆文, অসমীয়া亞塞拜然文, Azərbaycanca保加利亞文, Български孟加拉文, বাংলা加泰蘭文(西班牙), Català (Espanya)捷克文, Čeština丹麥文, Dansk德文, Deutsch希臘文, Ελληνικά英文, English西班牙文, Español (Internacional)西班牙文, Español (Argentina)西班牙文, Español (Chile)西班牙文, Español (Colombia)西班牙文, Español (Costa Rica)西班牙文(西班牙), Castellano西班牙文, Español (Honduras)西班牙文, Español (México)西班牙文, Español (Uruguay)愛沙尼亞文, Eesti芬蘭文, Suomi法文(加拿大), Français (Canada)法文, Français (France)希伯來文, עברית印地文, हिन्दी克羅埃西亞文, Hrvatski匈牙利文, Magyar印尼文, Bahasa Indonesia義大利文, Italiano日文, 日本語喬治亞文, ქართული坎那達文, ಕನ್ನಡ韓文, 한국어庫德文, کوردی立陶宛文, Lietuvių拉脫維亞文, Latviešu馬來亞拉姆文, മലയാളം馬拉地文, मराठी巴克摩挪威文, Norsk Bokmål尼泊爾文, नेपाली荷蘭文, Nederlands旁遮普文, ਪੰਜਾਬੀ波蘭文, Polski葡萄牙文(巴西), Português (Brasil)葡萄牙文(葡萄牙), Português (Portugal)羅馬尼亞文, Română俄文, Русский僧伽羅文(斯里蘭卡), සිංහල斯洛伐克文, Slovenčina斯洛維尼亞文(斯洛維尼亞), Slovenščina瑞典文, Svenska史瓦希里文, Kiswahili坦米爾文, தமிழ்泰盧固文, తెలుగు泰文, ไทย土耳其文, Türkçe烏克蘭文, Українська烏都文, اردو越南文, Tiếng Việt中文, 简体中文中文(中國香港特別行政區), 香港中文中文(台灣), 繁體中文