Staff Scientist,Rider Booking Job New York New York USA,IT/Tech

Position: Staff Scientist, Rider Booking Experience
Location: New York

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 kapsam 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 rewarded 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.

Experience presenting to and influencing senior leadership and executives.

Preferred Qualifications

Minimum 7 years experience in fast‑paced tech or marketplace environments; experience in AV mobility or delivery domains is a plus.

Proven experience building and deploying ML or optimization models in production.

Demonstrated leadership of large‑scale, cross‑functional technical initiatives.

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

Strong product and systems thinking, comfortable making trade‑offs between ideal science and product reality.

Strong communication, storytelling, and influencing skills.

For New York, NY-based roles:
The base salary range for this role is USD $212,000 per year - USD $235,500 per year.

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 Seattle, WA-based roles: STANDARD 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

Uber is proud to be an Equal Opportunity/Affirmative Action 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 - oficiales/1

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