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Manager II, Science - Search

Uber

Software and Technology Jobs

Manager II, Science - Search

full-timePosted: Feb 12, 2025

Job Description

Manager II, Science - Search

šŸ“‹ Job Overview

As a Science Manager for Uber Eats Search, you will shape the future of search experiences on the platform. You will drive the strategic vision and execution of search-related product development in collaboration with Engineering and Product leadership. This role involves leading a team of scientists and leveraging data-driven insights to enhance search relevance and user experience.

šŸ“ Location: San Francisco, California, United States

šŸ¢ Department: Data Science

šŸ“„ Full Description

## **About the Role**

As a Science Manager for Uber Eats (UE) Search, you will play a pivotal role in shaping the future of search experiences within the UE platform. Partnering closely with Engineering and Product leadership, you will drive the strategic vision and execution of search-related product development.

In this role, you will:

- Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability.
- Develop and execute robust experimental designs and insightful analyses to shape the product strategy, proactively identifying and mitigating potential challenges.
- Develop and implement cutting-edge machine learning, statistical, and analytical solutions to enhance search relevance, ranking, and overall user experience.
- Leverage data-driven insights and algorithmic expertise to guide the team’s direction and balance short-term execution with long-term innovation.
- Lead a team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact.

## **What You’ll Do**

- Lead a team of Scientists
- Actively participate and contribute in the end-to-end process of experimental design, execution, and analysis
- Work closely with Engineering and Product leads to develop technical vision and drive the team direction through identifying opportunities and building data-driven solutions.
- Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.
- Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.
- Communicate with leadership and cross-functional teams, including presentation of the Science team’s work on models, solutions, and data analytics findings.

## **Basic Qualifications**

- Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
- Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree).
- Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
- Minimum 1 year of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members
- Experience with tools like SQL or R in a production environment.
- Bias to action and proven track record of getting things done.
- Proficiency using Python, pySpark at scale with large data sets.
- Experienced in partnering with cross-functional stakeholders to execute decisions.
- Experience in tech or marketplace industries.

## **Preferred Qualifications**

- PhD or equivalent in Computer Science, Engineering, Mathematics or other quantitative fields.
- 9+ years of industry experience as an (Applied / Data) Scientist or equivalent (7+ years if holding a Ph.D. degree).
- 2+ years of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members.
- Experience in Search and Recommendation domains

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 Sunnyvale, 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.

šŸŽÆ Key Responsibilities

  • Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability.
  • Develop and execute robust experimental designs and insightful analyses to shape the product strategy, proactively identifying and mitigating potential challenges.
  • Develop and implement cutting-edge machine learning, statistical, and analytical solutions to enhance search relevance, ranking, and overall user experience.
  • Leverage data-driven insights and algorithmic expertise to guide the team’s direction and balance short-term execution with long-term innovation.
  • Lead a team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact.
  • Actively participate and contribute in the end-to-end process of experimental design, execution, and analysis.
  • Work closely with Engineering and Product leads to develop technical vision and drive the team direction through identifying opportunities and building data-driven solutions.
  • Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.
  • Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.
  • Communicate with leadership and cross-functional teams, including presentation of the Science team’s work on models, solutions, and data analytics findings.

āœ… Required Qualifications

  • Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
  • Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree).
  • Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
  • Minimum 1 year of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members.
  • Experience with tools like SQL or R in a production environment.
  • Bias to action and proven track record of getting things done.
  • Proficiency using Python, pySpark at scale with large data sets.
  • Experienced in partnering with cross-functional stakeholders to execute decisions.
  • Experience in tech or marketplace industries.

šŸ› ļø Required Skills

  • Exploratory data analysis
  • Statistical analysis and testing
  • Causal analysis
  • ML model development
  • People leadership
  • Mentoring
  • Proficiency in SQL, R, Python, pySpark
  • Cross-functional collaboration

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

  • 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

  • Exploratory data analysisintermediate
  • Statistical analysis and testingintermediate
  • Causal analysisintermediate
  • ML model developmentintermediate
  • People leadershipintermediate
  • Mentoringintermediate
  • Proficiency in SQL, R, Python, pySparkintermediate
  • Cross-functional collaborationintermediate

Required Qualifications

  • Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields. (experience)
  • Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree). (experience)
  • Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. (experience)
  • Minimum 1 year of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members. (experience)
  • Experience with tools like SQL or R in a production environment. (experience)
  • Bias to action and proven track record of getting things done. (experience)
  • Proficiency using Python, pySpark at scale with large data sets. (experience)
  • Experienced in partnering with cross-functional stakeholders to execute decisions. (experience)
  • Experience in tech or marketplace industries. (experience)

Preferred Qualifications

  • PhD or equivalent in Computer Science, Engineering, Mathematics or other quantitative fields. (experience)
  • 9+ years of industry experience as an (Applied / Data) Scientist or equivalent (7+ years if holding a Ph.D. degree). (experience)
  • 2+ years of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members. (experience)
  • Experience in Search and Recommendation domains. (experience)

Responsibilities

  • Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability.
  • Develop and execute robust experimental designs and insightful analyses to shape the product strategy, proactively identifying and mitigating potential challenges.
  • Develop and implement cutting-edge machine learning, statistical, and analytical solutions to enhance search relevance, ranking, and overall user experience.
  • Leverage data-driven insights and algorithmic expertise to guide the team’s direction and balance short-term execution with long-term innovation.
  • Lead a team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact.
  • Actively participate and contribute in the end-to-end process of experimental design, execution, and analysis.
  • Work closely with Engineering and Product leads to develop technical vision and drive the team direction through identifying opportunities and building data-driven solutions.
  • Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.
  • Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.
  • Communicate with leadership and cross-functional teams, including presentation of the Science team’s work on models, solutions, and data analytics findings.

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

Manager II, Science - Search

Uber

Software and Technology Jobs

Manager II, Science - Search

full-timePosted: Feb 12, 2025

Job Description

Manager II, Science - Search

šŸ“‹ Job Overview

As a Science Manager for Uber Eats Search, you will shape the future of search experiences on the platform. You will drive the strategic vision and execution of search-related product development in collaboration with Engineering and Product leadership. This role involves leading a team of scientists and leveraging data-driven insights to enhance search relevance and user experience.

šŸ“ Location: San Francisco, California, United States

šŸ¢ Department: Data Science

šŸ“„ Full Description

## **About the Role**

As a Science Manager for Uber Eats (UE) Search, you will play a pivotal role in shaping the future of search experiences within the UE platform. Partnering closely with Engineering and Product leadership, you will drive the strategic vision and execution of search-related product development.

In this role, you will:

- Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability.
- Develop and execute robust experimental designs and insightful analyses to shape the product strategy, proactively identifying and mitigating potential challenges.
- Develop and implement cutting-edge machine learning, statistical, and analytical solutions to enhance search relevance, ranking, and overall user experience.
- Leverage data-driven insights and algorithmic expertise to guide the team’s direction and balance short-term execution with long-term innovation.
- Lead a team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact.

## **What You’ll Do**

- Lead a team of Scientists
- Actively participate and contribute in the end-to-end process of experimental design, execution, and analysis
- Work closely with Engineering and Product leads to develop technical vision and drive the team direction through identifying opportunities and building data-driven solutions.
- Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.
- Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.
- Communicate with leadership and cross-functional teams, including presentation of the Science team’s work on models, solutions, and data analytics findings.

## **Basic Qualifications**

- Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
- Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree).
- Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
- Minimum 1 year of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members
- Experience with tools like SQL or R in a production environment.
- Bias to action and proven track record of getting things done.
- Proficiency using Python, pySpark at scale with large data sets.
- Experienced in partnering with cross-functional stakeholders to execute decisions.
- Experience in tech or marketplace industries.

## **Preferred Qualifications**

- PhD or equivalent in Computer Science, Engineering, Mathematics or other quantitative fields.
- 9+ years of industry experience as an (Applied / Data) Scientist or equivalent (7+ years if holding a Ph.D. degree).
- 2+ years of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members.
- Experience in Search and Recommendation domains

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 Sunnyvale, 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.

šŸŽÆ Key Responsibilities

  • Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability.
  • Develop and execute robust experimental designs and insightful analyses to shape the product strategy, proactively identifying and mitigating potential challenges.
  • Develop and implement cutting-edge machine learning, statistical, and analytical solutions to enhance search relevance, ranking, and overall user experience.
  • Leverage data-driven insights and algorithmic expertise to guide the team’s direction and balance short-term execution with long-term innovation.
  • Lead a team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact.
  • Actively participate and contribute in the end-to-end process of experimental design, execution, and analysis.
  • Work closely with Engineering and Product leads to develop technical vision and drive the team direction through identifying opportunities and building data-driven solutions.
  • Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.
  • Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.
  • Communicate with leadership and cross-functional teams, including presentation of the Science team’s work on models, solutions, and data analytics findings.

āœ… Required Qualifications

  • Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
  • Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree).
  • Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
  • Minimum 1 year of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members.
  • Experience with tools like SQL or R in a production environment.
  • Bias to action and proven track record of getting things done.
  • Proficiency using Python, pySpark at scale with large data sets.
  • Experienced in partnering with cross-functional stakeholders to execute decisions.
  • Experience in tech or marketplace industries.

šŸ› ļø Required Skills

  • Exploratory data analysis
  • Statistical analysis and testing
  • Causal analysis
  • ML model development
  • People leadership
  • Mentoring
  • Proficiency in SQL, R, Python, pySpark
  • Cross-functional collaboration

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

  • 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

  • Exploratory data analysisintermediate
  • Statistical analysis and testingintermediate
  • Causal analysisintermediate
  • ML model developmentintermediate
  • People leadershipintermediate
  • Mentoringintermediate
  • Proficiency in SQL, R, Python, pySparkintermediate
  • Cross-functional collaborationintermediate

Required Qualifications

  • Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields. (experience)
  • Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree). (experience)
  • Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. (experience)
  • Minimum 1 year of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members. (experience)
  • Experience with tools like SQL or R in a production environment. (experience)
  • Bias to action and proven track record of getting things done. (experience)
  • Proficiency using Python, pySpark at scale with large data sets. (experience)
  • Experienced in partnering with cross-functional stakeholders to execute decisions. (experience)
  • Experience in tech or marketplace industries. (experience)

Preferred Qualifications

  • PhD or equivalent in Computer Science, Engineering, Mathematics or other quantitative fields. (experience)
  • 9+ years of industry experience as an (Applied / Data) Scientist or equivalent (7+ years if holding a Ph.D. degree). (experience)
  • 2+ years of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members. (experience)
  • Experience in Search and Recommendation domains. (experience)

Responsibilities

  • Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability.
  • Develop and execute robust experimental designs and insightful analyses to shape the product strategy, proactively identifying and mitigating potential challenges.
  • Develop and implement cutting-edge machine learning, statistical, and analytical solutions to enhance search relevance, ranking, and overall user experience.
  • Leverage data-driven insights and algorithmic expertise to guide the team’s direction and balance short-term execution with long-term innovation.
  • Lead a team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact.
  • Actively participate and contribute in the end-to-end process of experimental design, execution, and analysis.
  • Work closely with Engineering and Product leads to develop technical vision and drive the team direction through identifying opportunities and building data-driven solutions.
  • Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.
  • Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.
  • Communicate with leadership and cross-functional teams, including presentation of the Science team’s work on models, solutions, and data analytics findings.

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 "Manager II, Science - Search" , Uber

Get personalized recommendations to optimize your resume specifically for Manager II, Science - Search. Takes only 15 seconds!

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

Check Your ATS Score for "Manager II, Science - Search" , 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

UberSan FranciscoUnited StatesData ScienceData Science

Answer 10 quick questions to check your fit for Manager II, Science - Search @ Uber.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.