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Uber logo

Scientist II, Earner Experience

Uber

Scientist II, Earner Experience

Uber logo

Uber

full-time

Posted: November 19, 2025

Number of Vacancies: 1

Job Description

Scientist II, Earner Experience

šŸ“‹ Job Overview

The Scientist II, Earner Experience role at Uber involves leveraging expertise in economics, operations, machine learning, and statistical modeling to enhance platform efficiency and guide product development. The position focuses on improving the earning experience through the Uber marketplace by developing data-driven solutions and prototypes.

šŸ“ Location: New York, New York, United States

šŸ¢ Department: Data Science

šŸ“„ Full Description

**About the Role**

The Earner org is responsible for the products and programs that make earning through the Uber marketplace a rewarding experience. As a Scientist, you will leverage your expertise in economics, operations, machine learning, and statistical modeling to improve the efficiency of our platform and help direct the development of our products.

**What the Candidate Will Need / Bonus Points**

- Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
- Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
- Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
- Leverage data to understand product performance and to identify improvement opportunities.
- Design product experiments and interpret the results to draw detailed and impactful conclusions.
- Communicate with senior management and multi-functional teams.
- Provide recommendations to assist quick product ideation and feature launch decisions.
- Build intelligent data-driven products to provide the best user experience.

**Basic Qualifications**

- 2+ years of industry experience in data science, analytics, or a related quantitative role.
- Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
- Proficiency in SQL and a programming language like Python or R for complex data manipulation and analysis.
- Demonstrated experience designing and analyzing large-scale A/B experiments.
- Proven ability to lead projects, work autonomously, and navigate ambiguity.

**Preferred Qualifications**

- M.S. or Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
- Deep expertise in advanced statistical techniques, including causal inference, quasi-experimental methods, and predictive modeling.
- A track record of successfully influencing product strategy and driving business outcomes through data on a consumer app.

For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 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.

šŸŽÆ Key Responsibilities

  • Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
  • Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
  • Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
  • Leverage data to understand product performance and to identify improvement opportunities.
  • Design product experiments and interpret the results to draw detailed and impactful conclusions.
  • Communicate with senior management and multi-functional teams.
  • Provide recommendations to assist quick product ideation and feature launch decisions.
  • Build intelligent data-driven products to provide the best user experience.

āœ… Required Qualifications

  • 2+ years of industry experience in data science, analytics, or a related quantitative role.
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
  • Proficiency in SQL and a programming language like Python or R for complex data manipulation and analysis.
  • Demonstrated experience designing and analyzing large-scale A/B experiments.
  • Proven ability to lead projects, work autonomously, and navigate ambiguity.

šŸ› ļø Required Skills

  • Economics
  • Operations
  • Machine Learning
  • Statistical Modeling
  • SQL
  • Python or R
  • Data Analysis
  • A/B Experimentation
  • Project Leadership
  • Autonomy
  • Ambiguity Navigation

šŸŽ 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

  • Economicsintermediate
  • Operationsintermediate
  • Machine Learningintermediate
  • Statistical Modelingintermediate
  • SQLintermediate
  • Python or Rintermediate
  • Data Analysisintermediate
  • A/B Experimentationintermediate
  • Project Leadershipintermediate
  • Autonomyintermediate
  • Ambiguity Navigationintermediate

Required Qualifications

  • 2+ years of industry experience in data science, analytics, or a related quantitative role. (experience)
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research). (experience)
  • Proficiency in SQL and a programming language like Python or R for complex data manipulation and analysis. (experience)
  • Demonstrated experience designing and analyzing large-scale A/B experiments. (experience)
  • Proven ability to lead projects, work autonomously, and navigate ambiguity. (experience)

Preferred Qualifications

  • M.S. or Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research). (experience)
  • Deep expertise in advanced statistical techniques, including causal inference, quasi-experimental methods, and predictive modeling. (experience)
  • A track record of successfully influencing product strategy and driving business outcomes through data on a consumer app. (experience)

Responsibilities

  • Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
  • Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
  • Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
  • Leverage data to understand product performance and to identify improvement opportunities.
  • Design product experiments and interpret the results to draw detailed and impactful conclusions.
  • Communicate with senior management and multi-functional teams.
  • Provide recommendations to assist quick product ideation and feature launch decisions.
  • Build intelligent data-driven products to provide the best user experience.

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.

Target Your Resume for "Scientist II, Earner Experience" , Uber

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Tags & Categories

UberNew YorkUnited StatesData ScienceData Science

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Uber logo

Scientist II, Earner Experience

Uber

Scientist II, Earner Experience

Uber logo

Uber

full-time

Posted: November 19, 2025

Number of Vacancies: 1

Job Description

Scientist II, Earner Experience

šŸ“‹ Job Overview

The Scientist II, Earner Experience role at Uber involves leveraging expertise in economics, operations, machine learning, and statistical modeling to enhance platform efficiency and guide product development. The position focuses on improving the earning experience through the Uber marketplace by developing data-driven solutions and prototypes.

šŸ“ Location: New York, New York, United States

šŸ¢ Department: Data Science

šŸ“„ Full Description

**About the Role**

The Earner org is responsible for the products and programs that make earning through the Uber marketplace a rewarding experience. As a Scientist, you will leverage your expertise in economics, operations, machine learning, and statistical modeling to improve the efficiency of our platform and help direct the development of our products.

**What the Candidate Will Need / Bonus Points**

- Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
- Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
- Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
- Leverage data to understand product performance and to identify improvement opportunities.
- Design product experiments and interpret the results to draw detailed and impactful conclusions.
- Communicate with senior management and multi-functional teams.
- Provide recommendations to assist quick product ideation and feature launch decisions.
- Build intelligent data-driven products to provide the best user experience.

**Basic Qualifications**

- 2+ years of industry experience in data science, analytics, or a related quantitative role.
- Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
- Proficiency in SQL and a programming language like Python or R for complex data manipulation and analysis.
- Demonstrated experience designing and analyzing large-scale A/B experiments.
- Proven ability to lead projects, work autonomously, and navigate ambiguity.

**Preferred Qualifications**

- M.S. or Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
- Deep expertise in advanced statistical techniques, including causal inference, quasi-experimental methods, and predictive modeling.
- A track record of successfully influencing product strategy and driving business outcomes through data on a consumer app.

For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 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.

šŸŽÆ Key Responsibilities

  • Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
  • Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
  • Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
  • Leverage data to understand product performance and to identify improvement opportunities.
  • Design product experiments and interpret the results to draw detailed and impactful conclusions.
  • Communicate with senior management and multi-functional teams.
  • Provide recommendations to assist quick product ideation and feature launch decisions.
  • Build intelligent data-driven products to provide the best user experience.

āœ… Required Qualifications

  • 2+ years of industry experience in data science, analytics, or a related quantitative role.
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
  • Proficiency in SQL and a programming language like Python or R for complex data manipulation and analysis.
  • Demonstrated experience designing and analyzing large-scale A/B experiments.
  • Proven ability to lead projects, work autonomously, and navigate ambiguity.

šŸ› ļø Required Skills

  • Economics
  • Operations
  • Machine Learning
  • Statistical Modeling
  • SQL
  • Python or R
  • Data Analysis
  • A/B Experimentation
  • Project Leadership
  • Autonomy
  • Ambiguity Navigation

šŸŽ 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

  • Economicsintermediate
  • Operationsintermediate
  • Machine Learningintermediate
  • Statistical Modelingintermediate
  • SQLintermediate
  • Python or Rintermediate
  • Data Analysisintermediate
  • A/B Experimentationintermediate
  • Project Leadershipintermediate
  • Autonomyintermediate
  • Ambiguity Navigationintermediate

Required Qualifications

  • 2+ years of industry experience in data science, analytics, or a related quantitative role. (experience)
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research). (experience)
  • Proficiency in SQL and a programming language like Python or R for complex data manipulation and analysis. (experience)
  • Demonstrated experience designing and analyzing large-scale A/B experiments. (experience)
  • Proven ability to lead projects, work autonomously, and navigate ambiguity. (experience)

Preferred Qualifications

  • M.S. or Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research). (experience)
  • Deep expertise in advanced statistical techniques, including causal inference, quasi-experimental methods, and predictive modeling. (experience)
  • A track record of successfully influencing product strategy and driving business outcomes through data on a consumer app. (experience)

Responsibilities

  • Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
  • Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
  • Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
  • Leverage data to understand product performance and to identify improvement opportunities.
  • Design product experiments and interpret the results to draw detailed and impactful conclusions.
  • Communicate with senior management and multi-functional teams.
  • Provide recommendations to assist quick product ideation and feature launch decisions.
  • Build intelligent data-driven products to provide the best user experience.

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.

Target Your Resume for "Scientist II, Earner Experience" , Uber

Get personalized recommendations to optimize your resume specifically for Scientist II, Earner Experience. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Scientist II, Earner Experience" , Uber

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

UberNew YorkUnited StatesData ScienceData Science

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