Applied Scientist - Marketplace Fairness
Uber
Applied Scientist - Marketplace Fairness
Job Description
Applied Scientist - Marketplace Fairness
📋 Job Overview
The Marketplace Fairness Team at Uber assesses bias in products, projects, and machine learning models. This role involves conducting fairness testing, presenting results to various stakeholders, and helping build AI/ML governance.
📍 Location: New York, New York, United States
🏢 Department: Data Science
📄 Full Description
**About the Role**
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.
\-\-\-\- What You Will Do ----
1. Conduct fairness testing to assess products, projects, or machine learning models for bias.
2. Present results to lawyers, leadership, and the people who create these products
3. Help build AI/ML governance
\-\-\-\- Basic Qualifications ----
1. Deeply proficient in doing data analysis in Python
2. Proficient with SQL
\-\-\-\- Preferred Qualifications ----
1. Experience conducting data science in the area of demographic disparities, especially in contexts where causal inference is challenging
2. Experience conducting data science in high-stakes settings, like litigation
For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 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. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/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](https://forms.gle/aDWTk9k6xtMU25Y5A).
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.
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.
\-\-\-\- What You Will Do ----
1. Conduct fairness testing to assess products, projects, or machine learning models for bias.
2. Present results to lawyers, leadership, and the people who create these products
3. Help build AI/ML governance
\-\-\-\- Basic Qualifications ----
1. Deeply proficient in doing data analysis in Python
2. Proficient with SQL
\-\-\-\- Preferred Qualifications ----
1. Experience conducting data science in the area of demographic disparities, especially in contexts where causal inference is challenging
2. Experience conducting data science in high-stakes settings, like litigation
For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 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. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/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](https://forms.gle/aDWTk9k6xtMU25Y5A).
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.
🎯 Key Responsibilities
- 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
✅ Required Qualifications
- Deeply proficient in doing data analysis in Python
- Proficient with SQL
🛠️ Required Skills
- Data analysis in Python
- SQL
🎁 Benefits
- Eligible to participate in Uber's bonus program
- May be offered an equity award & other types of comp
- Eligible for various benefits
Locations
- New York, New York, United States
Salary
155,000 - 172,000 USD / yearly
Estimated Salary Rangemedium confidence
120,000 - 180,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data analysis in Pythonintermediate
- SQLintermediate
Required Qualifications
- Deeply proficient in doing data analysis in Python (experience)
- Proficient with SQL (experience)
Preferred Qualifications
- Experience conducting data science in the area of demographic disparities, especially in contexts where causal inference is challenging (experience)
- Experience conducting data science in high-stakes settings, like litigation (experience)
Responsibilities
- 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
Benefits
- general: Eligible to participate in Uber's bonus program
- general: May be offered an equity award & other types of comp
- general: Eligible for various benefits
Tags & Categories
Answer 10 quick questions to check your fit for Applied Scientist - Marketplace Fairness @ Uber.
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~2 Minutes
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Applied Scientist - Marketplace Fairness
Uber
Applied Scientist - Marketplace Fairness
Job Description
Applied Scientist - Marketplace Fairness
📋 Job Overview
The Marketplace Fairness Team at Uber assesses bias in products, projects, and machine learning models. This role involves conducting fairness testing, presenting results to various stakeholders, and helping build AI/ML governance.
📍 Location: New York, New York, United States
🏢 Department: Data Science
📄 Full Description
**About the Role**
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.
\-\-\-\- What You Will Do ----
1. Conduct fairness testing to assess products, projects, or machine learning models for bias.
2. Present results to lawyers, leadership, and the people who create these products
3. Help build AI/ML governance
\-\-\-\- Basic Qualifications ----
1. Deeply proficient in doing data analysis in Python
2. Proficient with SQL
\-\-\-\- Preferred Qualifications ----
1. Experience conducting data science in the area of demographic disparities, especially in contexts where causal inference is challenging
2. Experience conducting data science in high-stakes settings, like litigation
For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 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. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/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](https://forms.gle/aDWTk9k6xtMU25Y5A).
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.
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.
\-\-\-\- What You Will Do ----
1. Conduct fairness testing to assess products, projects, or machine learning models for bias.
2. Present results to lawyers, leadership, and the people who create these products
3. Help build AI/ML governance
\-\-\-\- Basic Qualifications ----
1. Deeply proficient in doing data analysis in Python
2. Proficient with SQL
\-\-\-\- Preferred Qualifications ----
1. Experience conducting data science in the area of demographic disparities, especially in contexts where causal inference is challenging
2. Experience conducting data science in high-stakes settings, like litigation
For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 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. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/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](https://forms.gle/aDWTk9k6xtMU25Y5A).
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.
🎯 Key Responsibilities
- 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
✅ Required Qualifications
- Deeply proficient in doing data analysis in Python
- Proficient with SQL
🛠️ Required Skills
- Data analysis in Python
- SQL
🎁 Benefits
- Eligible to participate in Uber's bonus program
- May be offered an equity award & other types of comp
- Eligible for various benefits
Locations
- New York, New York, United States
Salary
155,000 - 172,000 USD / yearly
Estimated Salary Rangemedium confidence
120,000 - 180,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data analysis in Pythonintermediate
- SQLintermediate
Required Qualifications
- Deeply proficient in doing data analysis in Python (experience)
- Proficient with SQL (experience)
Preferred Qualifications
- Experience conducting data science in the area of demographic disparities, especially in contexts where causal inference is challenging (experience)
- Experience conducting data science in high-stakes settings, like litigation (experience)
Responsibilities
- 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
Benefits
- general: Eligible to participate in Uber's bonus program
- general: May be offered an equity award & other types of comp
- general: Eligible for various benefits
Tags & Categories
Answer 10 quick questions to check your fit for Applied Scientist - Marketplace Fairness @ Uber.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs