What is it like to work at Uber?
Review information last updated February 4, 2026.
Rating Distribution
115 ratings
Summary of Uber Employee Feedback (AI-Generated)
Disclaimer: This review has been generated by AI based on employee feedback. It may not fully represent the company under the current filters. The AI attempts to analyze patterns in reviews but may not capture all nuances of the workplace experience.
Highlights
Pros
- Flexibility of Gig Work
- Enjoyable Driving Experience
- Potential for Flexible Scheduling
Cons
- Toxic Work Environment
- Poor Senior Leadership
- Lack of Support
The company culture is relaxed, comfortable, and easy.
As a contractor, you have full control.
Uber provides a truly independent contractor style.
I had a truly fantastic and memorable time.
Pros
Flexible Schedule
Cons
Interactions with the public occasionally presented challenging situations.
The work environment is stimulating and constantly evolving.
I experienced an unjust termination due to convictions.
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Uber Employee Reviews by Location
| Location | Rating | Reviews |
|---|---|---|
| Los Angeles, CA | 3.8 ★ ★ ★ ★ ☆ | 8 |
| Las Vegas, NV | 3 ★ ★ ★ ☆ ☆ | 6 |
| Chicago, IL | 3.8 ★ ★ ★ ★ ☆ | 6 |
| Kansas City, MO | 1 ★ ☆ ☆ ☆ ☆ | 2 |
| Houston, TX | 1 ★ ☆ ☆ ☆ ☆ | 2 |
| Miami, FL | 4.5 ★ ★ ★ ★ ★ | 2 |
| Nashville, TN | 4 ★ ★ ★ ★ ☆ | 2 |
| Portland, OR | 3 ★ ★ ★ ☆ ☆ | 2 |
| Boston, MA | 4 ★ ★ ★ ★ ☆ | 2 |
| Columbia, SC | 5 ★ ★ ★ ★ ★ | 2 |
| Atlanta, GA | 2.5 ★ ★ ★ ☆ ☆ | 2 |
| San Francisco, CA | 1.5 ★ ★ ☆ ☆ ☆ | 2 |
| Phoenix, AZ | 3 ★ ★ ★ ☆ ☆ | 2 |
| San Diego, CA | 5 ★ ★ ★ ★ ★ | 1 |
| Wittmann, AZ | 1 ★ ☆ ☆ ☆ ☆ | 1 |
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Senior Scientist, Rider Personalization
Uber
Senior Scientist, Rider Personalization
Data Scientist, Data Science
New York, New York | Seattle, Washington | San Francisco, California | Sunnyvale, California
About the Role
As a Scientist, you will play a critical role in enhancing the personalization AIML experience for millions of Rider app users worldwide. You will leverage your expertise in data science and analysis to measure & optimize our recommendation systems, ultimately improving user satisfaction and achieving business growth through one of the most impactful channels.
What the Candidate Will Need / Bonus Points
What You Will Do
- Define, build, and visualize appropriate metrics to measure user behavior and algorithm performance.
- Explainability and observability: make data easily discoverable, understandable and actionable via simulation tooling, dashboards, etc.
- Design, implement, and analyze experiments/quasi-experiments using appropriate statistical methodologies (basic and advanced).
- Design and build agentic AI to automate data science workflows
- Evangelize proactive insights that influence product or algorithm strategy (e.g. discovering trends, anomalies, and behavior patterns in our AIML systems).
Basic Qualifications
- Experience defining, building, and visualizing appropriate metrics to measure user behavior and algorithm performance.
- Technical depth in designing, implementing, and analyzing experiments/quasi-experiments using appropriate causal inference methodologies (basic and advanced).
- Interest and curiosity for using agentic AI to automate data science workflows
- Ability to evangelize proactive insights that influence product or algorithm strategy (e.g. discovering trends, anomalies, and behavior patterns in our AIML systems).
Preferred Qualifications
- Experience designing and building agentic AI to automate data science workflows
- Expertise in causal inference modeling
For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 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.
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.
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.
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