The role involves developing and deploying statistical models to determine optimal staffing levels for autonomous vehicle and rider inquiries. The individual will collaborate with engineering teams to design and implement optimization models for request prioritization and queuing. Responsibilities include conducting data analysis to identify opportunities for improving operational efficiency and customer experience. The position requires defining metrics and measurement frameworks while promoting experimentation across the organization. Additionally, the role entails building and maintaining data foundations and reporting infrastructure to support informed decision-making.

The role requires at least 8 years of industry experience. Candidates must possess coding proficiency in Python and SQL. Expertise in modeling and optimization is necessary for the position. Strong communication and stakeholder management skills are also required.