Uber Eats Jobs

Staff Scientist, Rider Booking Experience

About the Role

At Uber, our mission is to reimagine how the world moves for the better. As part of the rider booking experience team, you'll have the opportunity to work on the core mobility business and influence the experience for millions of riders. From optimizing AI booking experiences to shaping executive-level strategy for the mobility product portfolio, your work will have a meaningful impact on the future direction of Uber. You'll design experiments, develop models, and analyze user behavior to drive growth in the mobility business.

The data science work we do is diverse and helps to drive every stage of product development. Our toolkit includes experimentation, product analytics, and ML modeling.

You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet.

Some of the key projects will include evaluating AI booking agents, building targeting models for messaging in the app, and running large scale experiments to improve the UX. In this role, you'll have exposure to many of the teams within Uber and an opportunity to influence the strategy for a core pillar of Uber's business.

What You'll Do

Drive Strategic Vision

Shape the vision for the mobility booking experience and translate the strategy into measurable goals, robust models, and scalable systems.

Propose and defend data-driven hypotheses in senior and executive reviews; shape long-term product direction with clear narratives and analysis.

Modeling, Metrics & Experimentation

Design and scale advanced machine learning and optimization systems to power steps in the booking flow.

Establish key success metrics and measurement frameworks for features and launches.

Incubate 0-to-1 solutions to evaluate and iterate on emerging AI user experiences.

Cross-Functional Leadership

Partner deeply with engineering, product, and operations to identify impactful opportunities and co-drive execution from inception to delivery.

Act as a scientific thought leader, mentoring junior scientists and influencing technical strategy across the organization.

Basic Qualifications

Ph.D. or equivalent experience in a quantitative field such as Economics, Statistics, Machine Learning, or Applied Mathematics.

• Minimum 4 years of industry experience in Data Science, Applied Science, or related roles, with a proven record of driving product impact.

Deep expertise in SQL, Python, and statistical analysis.

Advanced knowledge of experimentation and causal inference methodologies.

Preferred Qualifications

Entrepreneurial experience launching new product lines, systems, or 0-to-1 initiatives.

For New York, NY-based roles: The base salary range for this role is USD$212,000 per year

For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year

For Seattle, WA-based roles: The base salary range for this role is USD$212,000 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:

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.