Staff Scientist, Eats Growth
Uber
Staff Scientist, Eats Growth
Job Description
Staff Scientist, Eats Growth
📋 Job Overview
As a Staff Scientist on the Uber Eats Growth team, you will shape the user acquisition roadmap by analyzing data across the Uber ecosystem, optimizing conversion funnels, and running experiments to validate new tactics. This role involves collaborating with various teams to guide product strategy and presenting findings to senior leaders, playing a key part in Uber's platform growth.
📍 Location: New York, New York, United States
🏢 Department: Data Science
📄 Full Description
**About the Role**
Uber Eats is on a mission to redefine how people discover and enjoy food — and the Growth team is at the heart of that journey. We incubate and scale new tactics for acquiring, engaging, and retaining users across the Uber Eats and Uber Rides apps.
As a Staff Scientist on the team, you’ll play a pivotal role in shaping the user acquisition roadmap. You’ll analyze data across the Uber ecosystem to identify new growth opportunities, optimize conversion funnels, and run experiments to validate new acquisition tactics — from integrations with the Uber Rides app to third-party ecosystems like Instacart. This is a highly visible, cross-functional role where you'll combine technical expertise with product intuition to shape Uber’s platform strategy.
**What You'll Do**
- Design, execute, and analyze large-scale experiments within the Uber Eats and Uber Rides apps.
- Perform analytical deep dives to explore topics including conversion funnels, shopping journeys, personalization & ranking, and user retention.
- Design frameworks for optimizing tradeoffs across competing business objectives to maximize platform growth.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behavior and guide future product strategy.
- Present findings and recommendations to senior technical and business leaders.
**Basic Qualifications**
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 5 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.)
- Expertise in experimental design and statistical analysis for A/B testing and causal inference.
- Proficiency in SQL & Python for exploratory data analysis and modeling.
- Strong analytical skills, with experience extracting user behavior insights from large datasets.
- Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib).
**Preferred Qualifications**
- 6+ years of industry experience, particularly in growth, product, or consumer analytics.
- Proficiency in causal inference, funnel optimization, user segmentation, or lifetime value forecasting.
- Experience in algorithm prototyping and development.
- Exceptional communication skills across technical, non-technical, and executive audiences.
- Prior experience working on a consumer app or a growth team.
For New York, NY-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 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.
Uber Eats is on a mission to redefine how people discover and enjoy food — and the Growth team is at the heart of that journey. We incubate and scale new tactics for acquiring, engaging, and retaining users across the Uber Eats and Uber Rides apps.
As a Staff Scientist on the team, you’ll play a pivotal role in shaping the user acquisition roadmap. You’ll analyze data across the Uber ecosystem to identify new growth opportunities, optimize conversion funnels, and run experiments to validate new acquisition tactics — from integrations with the Uber Rides app to third-party ecosystems like Instacart. This is a highly visible, cross-functional role where you'll combine technical expertise with product intuition to shape Uber’s platform strategy.
**What You'll Do**
- Design, execute, and analyze large-scale experiments within the Uber Eats and Uber Rides apps.
- Perform analytical deep dives to explore topics including conversion funnels, shopping journeys, personalization & ranking, and user retention.
- Design frameworks for optimizing tradeoffs across competing business objectives to maximize platform growth.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behavior and guide future product strategy.
- Present findings and recommendations to senior technical and business leaders.
**Basic Qualifications**
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 5 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.)
- Expertise in experimental design and statistical analysis for A/B testing and causal inference.
- Proficiency in SQL & Python for exploratory data analysis and modeling.
- Strong analytical skills, with experience extracting user behavior insights from large datasets.
- Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib).
**Preferred Qualifications**
- 6+ years of industry experience, particularly in growth, product, or consumer analytics.
- Proficiency in causal inference, funnel optimization, user segmentation, or lifetime value forecasting.
- Experience in algorithm prototyping and development.
- Exceptional communication skills across technical, non-technical, and executive audiences.
- Prior experience working on a consumer app or a growth team.
For New York, NY-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 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
- Design, execute, and analyze large-scale experiments within the Uber Eats and Uber Rides apps.
- Perform analytical deep dives to explore topics including conversion funnels, shopping journeys, personalization & ranking, and user retention.
- Design frameworks for optimizing tradeoffs across competing business objectives to maximize platform growth.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behavior and guide future product strategy.
- Present findings and recommendations to senior technical and business leaders.
✅ Required Qualifications
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 5 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.)
- Expertise in experimental design and statistical analysis for A/B testing and causal inference.
- Proficiency in SQL & Python for exploratory data analysis and modeling.
- Strong analytical skills, with experience extracting user behavior insights from large datasets.
- Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib).
🛠️ Required Skills
- Experimental design
- Statistical analysis
- A/B testing
- Causal inference
- SQL
- Python
- Exploratory data analysis
- Modeling
- Analytical skills
- User behavior insights
- Data visualization
- Dashboarding
🎁 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
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
- Experimental designintermediate
- Statistical analysisintermediate
- A/B testingintermediate
- Causal inferenceintermediate
- SQLintermediate
- Pythonintermediate
- Exploratory data analysisintermediate
- Modelingintermediate
- Analytical skillsintermediate
- User behavior insightsintermediate
- Data visualizationintermediate
- Dashboardingintermediate
Required Qualifications
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields. (experience)
- Minimum 5 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.) (experience)
- Expertise in experimental design and statistical analysis for A/B testing and causal inference. (experience)
- Proficiency in SQL & Python for exploratory data analysis and modeling. (experience)
- Strong analytical skills, with experience extracting user behavior insights from large datasets. (experience)
- Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib). (experience)
Preferred Qualifications
- 6+ years of industry experience, particularly in growth, product, or consumer analytics. (experience)
- Proficiency in causal inference, funnel optimization, user segmentation, or lifetime value forecasting. (experience)
- Experience in algorithm prototyping and development. (experience)
- Exceptional communication skills across technical, non-technical, and executive audiences. (experience)
- Prior experience working on a consumer app or a growth team. (experience)
Responsibilities
- Design, execute, and analyze large-scale experiments within the Uber Eats and Uber Rides apps.
- Perform analytical deep dives to explore topics including conversion funnels, shopping journeys, personalization & ranking, and user retention.
- Design frameworks for optimizing tradeoffs across competing business objectives to maximize platform growth.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behavior and guide future product strategy.
- Present findings and recommendations to senior technical and business leaders.
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, Eats Growth
Uber
Staff Scientist, Eats Growth
Job Description
Staff Scientist, Eats Growth
📋 Job Overview
As a Staff Scientist on the Uber Eats Growth team, you will shape the user acquisition roadmap by analyzing data across the Uber ecosystem, optimizing conversion funnels, and running experiments to validate new tactics. This role involves collaborating with various teams to guide product strategy and presenting findings to senior leaders, playing a key part in Uber's platform growth.
📍 Location: New York, New York, United States
🏢 Department: Data Science
📄 Full Description
**About the Role**
Uber Eats is on a mission to redefine how people discover and enjoy food — and the Growth team is at the heart of that journey. We incubate and scale new tactics for acquiring, engaging, and retaining users across the Uber Eats and Uber Rides apps.
As a Staff Scientist on the team, you’ll play a pivotal role in shaping the user acquisition roadmap. You’ll analyze data across the Uber ecosystem to identify new growth opportunities, optimize conversion funnels, and run experiments to validate new acquisition tactics — from integrations with the Uber Rides app to third-party ecosystems like Instacart. This is a highly visible, cross-functional role where you'll combine technical expertise with product intuition to shape Uber’s platform strategy.
**What You'll Do**
- Design, execute, and analyze large-scale experiments within the Uber Eats and Uber Rides apps.
- Perform analytical deep dives to explore topics including conversion funnels, shopping journeys, personalization & ranking, and user retention.
- Design frameworks for optimizing tradeoffs across competing business objectives to maximize platform growth.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behavior and guide future product strategy.
- Present findings and recommendations to senior technical and business leaders.
**Basic Qualifications**
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 5 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.)
- Expertise in experimental design and statistical analysis for A/B testing and causal inference.
- Proficiency in SQL & Python for exploratory data analysis and modeling.
- Strong analytical skills, with experience extracting user behavior insights from large datasets.
- Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib).
**Preferred Qualifications**
- 6+ years of industry experience, particularly in growth, product, or consumer analytics.
- Proficiency in causal inference, funnel optimization, user segmentation, or lifetime value forecasting.
- Experience in algorithm prototyping and development.
- Exceptional communication skills across technical, non-technical, and executive audiences.
- Prior experience working on a consumer app or a growth team.
For New York, NY-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 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.
Uber Eats is on a mission to redefine how people discover and enjoy food — and the Growth team is at the heart of that journey. We incubate and scale new tactics for acquiring, engaging, and retaining users across the Uber Eats and Uber Rides apps.
As a Staff Scientist on the team, you’ll play a pivotal role in shaping the user acquisition roadmap. You’ll analyze data across the Uber ecosystem to identify new growth opportunities, optimize conversion funnels, and run experiments to validate new acquisition tactics — from integrations with the Uber Rides app to third-party ecosystems like Instacart. This is a highly visible, cross-functional role where you'll combine technical expertise with product intuition to shape Uber’s platform strategy.
**What You'll Do**
- Design, execute, and analyze large-scale experiments within the Uber Eats and Uber Rides apps.
- Perform analytical deep dives to explore topics including conversion funnels, shopping journeys, personalization & ranking, and user retention.
- Design frameworks for optimizing tradeoffs across competing business objectives to maximize platform growth.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behavior and guide future product strategy.
- Present findings and recommendations to senior technical and business leaders.
**Basic Qualifications**
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 5 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.)
- Expertise in experimental design and statistical analysis for A/B testing and causal inference.
- Proficiency in SQL & Python for exploratory data analysis and modeling.
- Strong analytical skills, with experience extracting user behavior insights from large datasets.
- Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib).
**Preferred Qualifications**
- 6+ years of industry experience, particularly in growth, product, or consumer analytics.
- Proficiency in causal inference, funnel optimization, user segmentation, or lifetime value forecasting.
- Experience in algorithm prototyping and development.
- Exceptional communication skills across technical, non-technical, and executive audiences.
- Prior experience working on a consumer app or a growth team.
For New York, NY-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 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
- Design, execute, and analyze large-scale experiments within the Uber Eats and Uber Rides apps.
- Perform analytical deep dives to explore topics including conversion funnels, shopping journeys, personalization & ranking, and user retention.
- Design frameworks for optimizing tradeoffs across competing business objectives to maximize platform growth.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behavior and guide future product strategy.
- Present findings and recommendations to senior technical and business leaders.
✅ Required Qualifications
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 5 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.)
- Expertise in experimental design and statistical analysis for A/B testing and causal inference.
- Proficiency in SQL & Python for exploratory data analysis and modeling.
- Strong analytical skills, with experience extracting user behavior insights from large datasets.
- Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib).
🛠️ Required Skills
- Experimental design
- Statistical analysis
- A/B testing
- Causal inference
- SQL
- Python
- Exploratory data analysis
- Modeling
- Analytical skills
- User behavior insights
- Data visualization
- Dashboarding
🎁 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
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
- Experimental designintermediate
- Statistical analysisintermediate
- A/B testingintermediate
- Causal inferenceintermediate
- SQLintermediate
- Pythonintermediate
- Exploratory data analysisintermediate
- Modelingintermediate
- Analytical skillsintermediate
- User behavior insightsintermediate
- Data visualizationintermediate
- Dashboardingintermediate
Required Qualifications
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields. (experience)
- Minimum 5 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.) (experience)
- Expertise in experimental design and statistical analysis for A/B testing and causal inference. (experience)
- Proficiency in SQL & Python for exploratory data analysis and modeling. (experience)
- Strong analytical skills, with experience extracting user behavior insights from large datasets. (experience)
- Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib). (experience)
Preferred Qualifications
- 6+ years of industry experience, particularly in growth, product, or consumer analytics. (experience)
- Proficiency in causal inference, funnel optimization, user segmentation, or lifetime value forecasting. (experience)
- Experience in algorithm prototyping and development. (experience)
- Exceptional communication skills across technical, non-technical, and executive audiences. (experience)
- Prior experience working on a consumer app or a growth team. (experience)
Responsibilities
- Design, execute, and analyze large-scale experiments within the Uber Eats and Uber Rides apps.
- Perform analytical deep dives to explore topics including conversion funnels, shopping journeys, personalization & ranking, and user retention.
- Design frameworks for optimizing tradeoffs across competing business objectives to maximize platform growth.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behavior and guide future product strategy.
- Present findings and recommendations to senior technical and business leaders.
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