Staff Scientist, Tech
Uber
Staff Scientist, Tech
Job Description
Staff Scientist, Tech
📋 Job Overview
The Experimentation Science team at Uber is seeking a Staff Scientist to enhance the experimentation platform, guiding teams through the experimentation lifecycle and improving methodologies. The role involves developing statistical and econometric approaches, mentoring colleagues, and driving platform development across Uber's ecosystem.
📍 Location: San Francisco, California, United States
🏢 Department: Data Science
📄 Full Description
**About the Role**
The Experimentation Science team is responsible for building the experimentation platform at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.
We are looking for strong Scientists to join us in San Francisco.
**\-\-\-\- What the Candidate Will Do ----**
1. Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
2. Guide and assist customer teams throughout the experimentation lifecycle, including experiment design that addresses business questions, experiment implementation, appropriate methodological choices for analysis, and interpretation of results.
3. Educate peers about experimentation best practices and pitfalls through presentations, documentation, face-to-face discussions and other channels.
4. Work with customers and other stakeholders to understand business goals for experimentation, identify areas of opportunity in platform functionality, and drive cross-functional platform development across science, product and engineering end-to-end from ideation to productionalization.
5. Mentor colleagues and continuously uplevel the team.
**\-\-\-\- Basic Qualifications ----**
1. Ph.D. in Economics, Statistics, Mathematics, Operations Research or other quantitative field with a focus on or substantial experience in statistical / econometric methodology.
2. Ability to use Python to work efficiently at scale with large data sets (including exploratory data analysis, model / methodology prototyping, statistical analysis and simulations).
3. Advanced knowledge of experimental design and statistical methods.
**\-\-\-\- Preferred Qualifications ----**
1. Experience developing experimentation methodology and building experimentation platforms.
2. Experience with production-level software development.
3. Track record of technical leadership.
For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.
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 Experimentation Science team is responsible for building the experimentation platform at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.
We are looking for strong Scientists to join us in San Francisco.
**\-\-\-\- What the Candidate Will Do ----**
1. Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
2. Guide and assist customer teams throughout the experimentation lifecycle, including experiment design that addresses business questions, experiment implementation, appropriate methodological choices for analysis, and interpretation of results.
3. Educate peers about experimentation best practices and pitfalls through presentations, documentation, face-to-face discussions and other channels.
4. Work with customers and other stakeholders to understand business goals for experimentation, identify areas of opportunity in platform functionality, and drive cross-functional platform development across science, product and engineering end-to-end from ideation to productionalization.
5. Mentor colleagues and continuously uplevel the team.
**\-\-\-\- Basic Qualifications ----**
1. Ph.D. in Economics, Statistics, Mathematics, Operations Research or other quantitative field with a focus on or substantial experience in statistical / econometric methodology.
2. Ability to use Python to work efficiently at scale with large data sets (including exploratory data analysis, model / methodology prototyping, statistical analysis and simulations).
3. Advanced knowledge of experimental design and statistical methods.
**\-\-\-\- Preferred Qualifications ----**
1. Experience developing experimentation methodology and building experimentation platforms.
2. Experience with production-level software development.
3. Track record of technical leadership.
For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.
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
- Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
- Guide and assist customer teams throughout the experimentation lifecycle, including experiment design that addresses business questions, experiment implementation, appropriate methodological choices for analysis, and interpretation of results.
- Educate peers about experimentation best practices and pitfalls through presentations, documentation, face-to-face discussions and other channels.
- Work with customers and other stakeholders to understand business goals for experimentation, identify areas of opportunity in platform functionality, and drive cross-functional platform development across science, product and engineering end-to-end from ideation to productionalization.
- Mentor colleagues and continuously uplevel the team.
✅ Required Qualifications
- Ph.D. in Economics, Statistics, Mathematics, Operations Research or other quantitative field with a focus on or substantial experience in statistical / econometric methodology.
- Ability to use Python to work efficiently at scale with large data sets (including exploratory data analysis, model / methodology prototyping, statistical analysis and simulations).
- Advanced knowledge of experimental design and statistical methods.
🛠️ Required Skills
- Statistical / econometric methodology
- Python
- Experimental design
- Statistical methods
🎁 Benefits
- Eligible to participate in Uber's bonus program.
- May be offered an equity award & other types of comp.
- Eligible for various benefits.
Locations
- San Francisco, California, United States
Salary
212,000 - 235,500 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
- Statistical / econometric methodologyintermediate
- Pythonintermediate
- Experimental designintermediate
- Statistical methodsintermediate
Required Qualifications
- Ph.D. in Economics, Statistics, Mathematics, Operations Research or other quantitative field with a focus on or substantial experience in statistical / econometric methodology. (experience)
- Ability to use Python to work efficiently at scale with large data sets (including exploratory data analysis, model / methodology prototyping, statistical analysis and simulations). (experience)
- Advanced knowledge of experimental design and statistical methods. (experience)
Preferred Qualifications
- Experience developing experimentation methodology and building experimentation platforms. (experience)
- Experience with production-level software development. (experience)
- Track record of technical leadership. (experience)
Responsibilities
- Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
- Guide and assist customer teams throughout the experimentation lifecycle, including experiment design that addresses business questions, experiment implementation, appropriate methodological choices for analysis, and interpretation of results.
- Educate peers about experimentation best practices and pitfalls through presentations, documentation, face-to-face discussions and other channels.
- Work with customers and other stakeholders to understand business goals for experimentation, identify areas of opportunity in platform functionality, and drive cross-functional platform development across science, product and engineering end-to-end from ideation to productionalization.
- Mentor colleagues and continuously uplevel the team.
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
Staff Scientist, Tech
Uber
Staff Scientist, Tech
Job Description
Staff Scientist, Tech
📋 Job Overview
The Experimentation Science team at Uber is seeking a Staff Scientist to enhance the experimentation platform, guiding teams through the experimentation lifecycle and improving methodologies. The role involves developing statistical and econometric approaches, mentoring colleagues, and driving platform development across Uber's ecosystem.
📍 Location: San Francisco, California, United States
🏢 Department: Data Science
📄 Full Description
**About the Role**
The Experimentation Science team is responsible for building the experimentation platform at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.
We are looking for strong Scientists to join us in San Francisco.
**\-\-\-\- What the Candidate Will Do ----**
1. Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
2. Guide and assist customer teams throughout the experimentation lifecycle, including experiment design that addresses business questions, experiment implementation, appropriate methodological choices for analysis, and interpretation of results.
3. Educate peers about experimentation best practices and pitfalls through presentations, documentation, face-to-face discussions and other channels.
4. Work with customers and other stakeholders to understand business goals for experimentation, identify areas of opportunity in platform functionality, and drive cross-functional platform development across science, product and engineering end-to-end from ideation to productionalization.
5. Mentor colleagues and continuously uplevel the team.
**\-\-\-\- Basic Qualifications ----**
1. Ph.D. in Economics, Statistics, Mathematics, Operations Research or other quantitative field with a focus on or substantial experience in statistical / econometric methodology.
2. Ability to use Python to work efficiently at scale with large data sets (including exploratory data analysis, model / methodology prototyping, statistical analysis and simulations).
3. Advanced knowledge of experimental design and statistical methods.
**\-\-\-\- Preferred Qualifications ----**
1. Experience developing experimentation methodology and building experimentation platforms.
2. Experience with production-level software development.
3. Track record of technical leadership.
For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.
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 Experimentation Science team is responsible for building the experimentation platform at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.
We are looking for strong Scientists to join us in San Francisco.
**\-\-\-\- What the Candidate Will Do ----**
1. Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
2. Guide and assist customer teams throughout the experimentation lifecycle, including experiment design that addresses business questions, experiment implementation, appropriate methodological choices for analysis, and interpretation of results.
3. Educate peers about experimentation best practices and pitfalls through presentations, documentation, face-to-face discussions and other channels.
4. Work with customers and other stakeholders to understand business goals for experimentation, identify areas of opportunity in platform functionality, and drive cross-functional platform development across science, product and engineering end-to-end from ideation to productionalization.
5. Mentor colleagues and continuously uplevel the team.
**\-\-\-\- Basic Qualifications ----**
1. Ph.D. in Economics, Statistics, Mathematics, Operations Research or other quantitative field with a focus on or substantial experience in statistical / econometric methodology.
2. Ability to use Python to work efficiently at scale with large data sets (including exploratory data analysis, model / methodology prototyping, statistical analysis and simulations).
3. Advanced knowledge of experimental design and statistical methods.
**\-\-\-\- Preferred Qualifications ----**
1. Experience developing experimentation methodology and building experimentation platforms.
2. Experience with production-level software development.
3. Track record of technical leadership.
For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.
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
- Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
- Guide and assist customer teams throughout the experimentation lifecycle, including experiment design that addresses business questions, experiment implementation, appropriate methodological choices for analysis, and interpretation of results.
- Educate peers about experimentation best practices and pitfalls through presentations, documentation, face-to-face discussions and other channels.
- Work with customers and other stakeholders to understand business goals for experimentation, identify areas of opportunity in platform functionality, and drive cross-functional platform development across science, product and engineering end-to-end from ideation to productionalization.
- Mentor colleagues and continuously uplevel the team.
✅ Required Qualifications
- Ph.D. in Economics, Statistics, Mathematics, Operations Research or other quantitative field with a focus on or substantial experience in statistical / econometric methodology.
- Ability to use Python to work efficiently at scale with large data sets (including exploratory data analysis, model / methodology prototyping, statistical analysis and simulations).
- Advanced knowledge of experimental design and statistical methods.
🛠️ Required Skills
- Statistical / econometric methodology
- Python
- Experimental design
- Statistical methods
🎁 Benefits
- Eligible to participate in Uber's bonus program.
- May be offered an equity award & other types of comp.
- Eligible for various benefits.
Locations
- San Francisco, California, United States
Salary
212,000 - 235,500 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
- Statistical / econometric methodologyintermediate
- Pythonintermediate
- Experimental designintermediate
- Statistical methodsintermediate
Required Qualifications
- Ph.D. in Economics, Statistics, Mathematics, Operations Research or other quantitative field with a focus on or substantial experience in statistical / econometric methodology. (experience)
- Ability to use Python to work efficiently at scale with large data sets (including exploratory data analysis, model / methodology prototyping, statistical analysis and simulations). (experience)
- Advanced knowledge of experimental design and statistical methods. (experience)
Preferred Qualifications
- Experience developing experimentation methodology and building experimentation platforms. (experience)
- Experience with production-level software development. (experience)
- Track record of technical leadership. (experience)
Responsibilities
- Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
- Guide and assist customer teams throughout the experimentation lifecycle, including experiment design that addresses business questions, experiment implementation, appropriate methodological choices for analysis, and interpretation of results.
- Educate peers about experimentation best practices and pitfalls through presentations, documentation, face-to-face discussions and other channels.
- Work with customers and other stakeholders to understand business goals for experimentation, identify areas of opportunity in platform functionality, and drive cross-functional platform development across science, product and engineering end-to-end from ideation to productionalization.
- Mentor colleagues and continuously uplevel the team.
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