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Marketing Applied Scientist II

Uber

Marketing Jobs

Marketing Applied Scientist II

full-timePosted: Oct 9, 2025

Job Description

Marketing Applied Scientist II

๐Ÿ“‹ Job Overview

The Marketing Applied Scientist II role at Uber involves developing strategic insights and driving product strategy through experimentation and deep dives across Uber's global Rides and Eats business. The role requires collaboration with cross-functional teams and presenting analytical results to senior leadership.

๐Ÿ“ Location: New York, New York, United States

๐Ÿข Department: Data Science

๐Ÿ“„ Full Description

**About the role**

We are looking for an economic-minded applied scientist for the Marketing Science team to develop strategic insights and drive product strategy including running experimentation and conducting product deep dives. The scope of this role is global and spans Uberโ€™s Rides and Eats business!

**Responsibilities**

- Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities.
- Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts.

- Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uberโ€™s senior leadership team.

**Basic Qualifications**

- Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent).

- Strong SQL, Python and/or R foundation and expertise.
- Knowledge of experimental design and analysis (e.g., advanced analytics, econometrics, causal inference).

**Preferred Qualifications**

- Ability to collaborate cross-functionally and clearly and concisely communicate complex topics to audiences with different backgrounds.
- A track record of working independently and conducting rigorous quantitative research in an outcome-oriented way with minimal oversight.
- Industry experience in marketing science or product research, particularly background in developing and bringing quantitative evidence to bear on marketing or product strategies.
- Excellent project management skills and the ability to develop and maintain collaborative and productive relationships with other teams around the company.

- Passion for Uber!

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.

๐ŸŽฏ Key Responsibilities

  • Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities
  • Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts
  • Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uber's senior leadership team

โœ… Required Qualifications

  • Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent)
  • Strong SQL, Python and/or R foundation and expertise
  • Knowledge of experimental design and analysis (e.g., advanced analytics, econometrics, causal inference)

๐Ÿ› ๏ธ Required Skills

  • SQL
  • Python
  • R
  • Experimental design
  • Econometrics
  • Causal inference

๐ŸŽ 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

  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Experimental designintermediate
  • Econometricsintermediate
  • Causal inferenceintermediate

Required Qualifications

  • Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent) (experience)
  • Strong SQL, Python and/or R foundation and expertise (experience)
  • Knowledge of experimental design and analysis (e.g., advanced analytics, econometrics, causal inference) (experience)

Preferred Qualifications

  • Ability to collaborate cross-functionally and clearly and concisely communicate complex topics to audiences with different backgrounds (experience)
  • A track record of working independently and conducting rigorous quantitative research in an outcome-oriented way with minimal oversight (experience)
  • Industry experience in marketing science or product research, particularly background in developing and bringing quantitative evidence to bear on marketing or product strategies (experience)
  • Excellent project management skills and the ability to develop and maintain collaborative and productive relationships with other teams around the company (experience)
  • Passion for Uber (experience)

Responsibilities

  • Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities
  • Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts
  • Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uber's senior leadership 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

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Uber logo

Marketing Applied Scientist II

Uber

Marketing Jobs

Marketing Applied Scientist II

full-timePosted: Oct 9, 2025

Job Description

Marketing Applied Scientist II

๐Ÿ“‹ Job Overview

The Marketing Applied Scientist II role at Uber involves developing strategic insights and driving product strategy through experimentation and deep dives across Uber's global Rides and Eats business. The role requires collaboration with cross-functional teams and presenting analytical results to senior leadership.

๐Ÿ“ Location: New York, New York, United States

๐Ÿข Department: Data Science

๐Ÿ“„ Full Description

**About the role**

We are looking for an economic-minded applied scientist for the Marketing Science team to develop strategic insights and drive product strategy including running experimentation and conducting product deep dives. The scope of this role is global and spans Uberโ€™s Rides and Eats business!

**Responsibilities**

- Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities.
- Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts.

- Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uberโ€™s senior leadership team.

**Basic Qualifications**

- Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent).

- Strong SQL, Python and/or R foundation and expertise.
- Knowledge of experimental design and analysis (e.g., advanced analytics, econometrics, causal inference).

**Preferred Qualifications**

- Ability to collaborate cross-functionally and clearly and concisely communicate complex topics to audiences with different backgrounds.
- A track record of working independently and conducting rigorous quantitative research in an outcome-oriented way with minimal oversight.
- Industry experience in marketing science or product research, particularly background in developing and bringing quantitative evidence to bear on marketing or product strategies.
- Excellent project management skills and the ability to develop and maintain collaborative and productive relationships with other teams around the company.

- Passion for Uber!

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.

๐ŸŽฏ Key Responsibilities

  • Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities
  • Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts
  • Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uber's senior leadership team

โœ… Required Qualifications

  • Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent)
  • Strong SQL, Python and/or R foundation and expertise
  • Knowledge of experimental design and analysis (e.g., advanced analytics, econometrics, causal inference)

๐Ÿ› ๏ธ Required Skills

  • SQL
  • Python
  • R
  • Experimental design
  • Econometrics
  • Causal inference

๐ŸŽ 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

  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Experimental designintermediate
  • Econometricsintermediate
  • Causal inferenceintermediate

Required Qualifications

  • Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent) (experience)
  • Strong SQL, Python and/or R foundation and expertise (experience)
  • Knowledge of experimental design and analysis (e.g., advanced analytics, econometrics, causal inference) (experience)

Preferred Qualifications

  • Ability to collaborate cross-functionally and clearly and concisely communicate complex topics to audiences with different backgrounds (experience)
  • A track record of working independently and conducting rigorous quantitative research in an outcome-oriented way with minimal oversight (experience)
  • Industry experience in marketing science or product research, particularly background in developing and bringing quantitative evidence to bear on marketing or product strategies (experience)
  • Excellent project management skills and the ability to develop and maintain collaborative and productive relationships with other teams around the company (experience)
  • Passion for Uber (experience)

Responsibilities

  • Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities
  • Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts
  • Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uber's senior leadership 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

Target Your Resume for "Marketing Applied Scientist II" , Uber

Get personalized recommendations to optimize your resume specifically for Marketing Applied Scientist II. Takes only 15 seconds!

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

Check Your ATS Score for "Marketing Applied Scientist II" , 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

Answer 10 quick questions to check your fit for Marketing Applied Scientist II @ Uber.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.