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Uber logo

Sr. Data Scientist, Uber AI Solutions

Uber

Sr. Data Scientist, Uber AI Solutions

Uber logo

Uber

full-time

Posted: November 19, 2025

Number of Vacancies: 1

Job Description

Sr. Data Scientist, Uber AI Solutions

📋 Job Overview

The Sr. Data Scientist at Uber AI Solutions will build scalable analytical frameworks and lead product experimentation for Uber's new business platform. The role involves partnering with cross-functional teams to deploy data quality across pipelines and develop metrics to monitor risk products. Candidates should have extensive experience in data-focused roles and a strong educational background in relevant fields.

📍 Location: San Francisco, California, United States

🏢 Department: Data Science

📄 Full Description

**About the Role**

At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and “Uber AI Solutions” leads many of those capabilities. We offer 30+ advanced capabilities, including image and video annotation, text labeling, 3D point cloud processing, semantic segmentation, intent tagging, sentiment detection, document transcription, synthetic data generation, object tracking, and LiDAR annotation.

The tech+ops solution coupled with Uber’s strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry.

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

\-\-\-\- What the Candidate Will Do ----

1. Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform “Uber AI Solutions”
2. Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions
3. Own new product experimentation including plan creation, roll-out, and monitoring
4. Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
5. Develop and track metrics and reporting functions to measure and monitor risk products on our platform
6. Effectively and proactively communicate insights and drive projects to drive towards team goals
7. Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
8. Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts

\-\-\-\- Basic Qualifications ----

1. 6+ years of experience (Bachelor) OR 5+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science
2. Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
3. Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
4. Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
5. Working Knowledge of LLMs is a plus
6. Working experience in AI companies is a plus.

\-\-\-\- Preferred Qualifications ----

01. SQL mastery. Write efficient and complex code in SQL
02. Experience in Python/R and experimentation, A/B testing, and statistical modelling
03. Experience in Payments or Compliance with a Product / Tech company
04. Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
05. Love of data - you just go get the data you need and turn it into an insightful story.
06. A well-organized, structured approach to problem-solving
07. Strong sense of ownership, accountability, and entrepreneurial spirit
08. Great communicator, problem-solver & confident in decision making
09. Independent & autonomous, while still a strong teammate
10. Enthusiastic, self-starting and thrives in changing, agile environments
11. LLMs, prompt engg is a plus

For San Francisco, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 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.

🎯 Key Responsibilities

  • Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform 'Uber AI Solutions'
  • Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions
  • Own new product experimentation including plan creation, roll-out, and monitoring
  • Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
  • Develop and track metrics and reporting functions to measure and monitor risk products on our platform
  • Effectively and proactively communicate insights and drive projects to drive towards team goals
  • Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
  • Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts

✅ Required Qualifications

  • 6+ years of experience (Bachelor) OR 5+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science
  • Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
  • Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
  • Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries

🛠️ Required Skills

  • Modern programming languages (Matlab, Python)
  • Statistical languages (SQL, SAS, R)
  • Analytical framework development
  • Product experimentation
  • Data quality deployment
  • Metrics development and tracking
  • Cross-functional team collaboration
  • Effective communication

🎁 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

169,000 - 188,000 USD / yearly

Estimated Salary Rangemedium confidence

150,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Modern programming languages (Matlab, Python)intermediate
  • Statistical languages (SQL, SAS, R)intermediate
  • Analytical framework developmentintermediate
  • Product experimentationintermediate
  • Data quality deploymentintermediate
  • Metrics development and trackingintermediate
  • Cross-functional team collaborationintermediate
  • Effective communicationintermediate

Required Qualifications

  • 6+ years of experience (Bachelor) OR 5+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science (experience)
  • Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience (experience)
  • Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R) (experience)
  • Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries (experience)

Preferred Qualifications

  • SQL mastery. Write efficient and complex code in SQL (experience)
  • Experience in Python/R and experimentation, A/B testing, and statistical modelling (experience)
  • Experience in Payments or Compliance with a Product / Tech company (experience)
  • Proven ability to handle and visualise large datasets, explore and utilize raw data feeds (experience)
  • Love of data - you just go get the data you need and turn it into an insightful story (experience)
  • A well-organized, structured approach to problem-solving (experience)
  • Strong sense of ownership, accountability, and entrepreneurial spirit (experience)
  • Great communicator, problem-solver & confident in decision making (experience)
  • Independent & autonomous, while still a strong teammate (experience)
  • Enthusiastic, self-starting and thrives in changing, agile environments (experience)
  • Working Knowledge of LLMs is a plus (experience)
  • Working experience in AI companies is a plus (experience)
  • LLMs, prompt engg is a plus (experience)

Responsibilities

  • Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform 'Uber AI Solutions'
  • Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions
  • Own new product experimentation including plan creation, roll-out, and monitoring
  • Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
  • Develop and track metrics and reporting functions to measure and monitor risk products on our platform
  • Effectively and proactively communicate insights and drive projects to drive towards team goals
  • Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
  • Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts

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 "Sr. Data Scientist, Uber AI Solutions" , Uber

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Uber logo

Sr. Data Scientist, Uber AI Solutions

Uber

Sr. Data Scientist, Uber AI Solutions

Uber logo

Uber

full-time

Posted: November 19, 2025

Number of Vacancies: 1

Job Description

Sr. Data Scientist, Uber AI Solutions

📋 Job Overview

The Sr. Data Scientist at Uber AI Solutions will build scalable analytical frameworks and lead product experimentation for Uber's new business platform. The role involves partnering with cross-functional teams to deploy data quality across pipelines and develop metrics to monitor risk products. Candidates should have extensive experience in data-focused roles and a strong educational background in relevant fields.

📍 Location: San Francisco, California, United States

🏢 Department: Data Science

📄 Full Description

**About the Role**

At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and “Uber AI Solutions” leads many of those capabilities. We offer 30+ advanced capabilities, including image and video annotation, text labeling, 3D point cloud processing, semantic segmentation, intent tagging, sentiment detection, document transcription, synthetic data generation, object tracking, and LiDAR annotation.

The tech+ops solution coupled with Uber’s strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry.

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

\-\-\-\- What the Candidate Will Do ----

1. Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform “Uber AI Solutions”
2. Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions
3. Own new product experimentation including plan creation, roll-out, and monitoring
4. Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
5. Develop and track metrics and reporting functions to measure and monitor risk products on our platform
6. Effectively and proactively communicate insights and drive projects to drive towards team goals
7. Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
8. Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts

\-\-\-\- Basic Qualifications ----

1. 6+ years of experience (Bachelor) OR 5+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science
2. Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
3. Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
4. Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
5. Working Knowledge of LLMs is a plus
6. Working experience in AI companies is a plus.

\-\-\-\- Preferred Qualifications ----

01. SQL mastery. Write efficient and complex code in SQL
02. Experience in Python/R and experimentation, A/B testing, and statistical modelling
03. Experience in Payments or Compliance with a Product / Tech company
04. Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
05. Love of data - you just go get the data you need and turn it into an insightful story.
06. A well-organized, structured approach to problem-solving
07. Strong sense of ownership, accountability, and entrepreneurial spirit
08. Great communicator, problem-solver & confident in decision making
09. Independent & autonomous, while still a strong teammate
10. Enthusiastic, self-starting and thrives in changing, agile environments
11. LLMs, prompt engg is a plus

For San Francisco, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 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.

🎯 Key Responsibilities

  • Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform 'Uber AI Solutions'
  • Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions
  • Own new product experimentation including plan creation, roll-out, and monitoring
  • Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
  • Develop and track metrics and reporting functions to measure and monitor risk products on our platform
  • Effectively and proactively communicate insights and drive projects to drive towards team goals
  • Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
  • Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts

✅ Required Qualifications

  • 6+ years of experience (Bachelor) OR 5+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science
  • Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
  • Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
  • Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries

🛠️ Required Skills

  • Modern programming languages (Matlab, Python)
  • Statistical languages (SQL, SAS, R)
  • Analytical framework development
  • Product experimentation
  • Data quality deployment
  • Metrics development and tracking
  • Cross-functional team collaboration
  • Effective communication

🎁 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

169,000 - 188,000 USD / yearly

Estimated Salary Rangemedium confidence

150,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Modern programming languages (Matlab, Python)intermediate
  • Statistical languages (SQL, SAS, R)intermediate
  • Analytical framework developmentintermediate
  • Product experimentationintermediate
  • Data quality deploymentintermediate
  • Metrics development and trackingintermediate
  • Cross-functional team collaborationintermediate
  • Effective communicationintermediate

Required Qualifications

  • 6+ years of experience (Bachelor) OR 5+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science (experience)
  • Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience (experience)
  • Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R) (experience)
  • Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries (experience)

Preferred Qualifications

  • SQL mastery. Write efficient and complex code in SQL (experience)
  • Experience in Python/R and experimentation, A/B testing, and statistical modelling (experience)
  • Experience in Payments or Compliance with a Product / Tech company (experience)
  • Proven ability to handle and visualise large datasets, explore and utilize raw data feeds (experience)
  • Love of data - you just go get the data you need and turn it into an insightful story (experience)
  • A well-organized, structured approach to problem-solving (experience)
  • Strong sense of ownership, accountability, and entrepreneurial spirit (experience)
  • Great communicator, problem-solver & confident in decision making (experience)
  • Independent & autonomous, while still a strong teammate (experience)
  • Enthusiastic, self-starting and thrives in changing, agile environments (experience)
  • Working Knowledge of LLMs is a plus (experience)
  • Working experience in AI companies is a plus (experience)
  • LLMs, prompt engg is a plus (experience)

Responsibilities

  • Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform 'Uber AI Solutions'
  • Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions
  • Own new product experimentation including plan creation, roll-out, and monitoring
  • Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
  • Develop and track metrics and reporting functions to measure and monitor risk products on our platform
  • Effectively and proactively communicate insights and drive projects to drive towards team goals
  • Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
  • Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts

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 "Sr. Data Scientist, Uber AI Solutions" , Uber

Get personalized recommendations to optimize your resume specifically for Sr. Data Scientist, Uber AI Solutions. Takes only 15 seconds!

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

Check Your ATS Score for "Sr. Data Scientist, Uber AI Solutions" , 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

Related Jobs You May Like

No related jobs found at the moment.