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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.
Job Responsibility:
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
Requirements:
Ph.D. or equivalent experience in a quantitative field such as Economics, Statistics, Machine Learning, or Applied Mathematics
Minumal 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
Nice to have:
Minumal 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
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan