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At Uber, our mission is to reimagine how the world moves for the better. As part of the Rider Science team, you’ll have the opportunity to work on the core mobility business and influence the experience for millions of riders. You’ll design experiments, develop models, and analyze user behavior to deepen our understanding of the mobility business and drive future growth. The work we do is diverse: it includes experimentation, causal inference, ML modeling, and exploratory data analysis. You will collaborate with other scientists, product managers, engineers, and business teams to solve problems, answer longstanding questions, and raise new ones of your own. One key area of interest is understanding how a rider’s current experiences with our product inform their long-term engagement with the product.
Job Responsibility:
Explore our rider data and carry out rigorous analysis to support your insights
Design, run, and analyze experiments to test hypothesis about our riders
Build models which could be applied in production to improve the rider experience or Uber’s business performance
Tell a compelling story about your findings to stakeholders and executives
Requirements:
Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields
Minimum 6 years of industry experience in Data Science, Applied Science, or related roles, with a proven record of driving product impact
Deep expertise in Python or R, and statistical analysis
Advanced knowledge of experimentation and causal inference methodologies
Experience presenting to and influencing senior leadership and executives
Nice to have:
Experience working with marketplaces
Strong communication, storytelling, and influencing skills
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
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