The role involves implementing and scaling a core dynamic pricing engine to support revenue and business strategy. The individual will develop and deploy machine learning models and optimization algorithms to manage real-time pricing based on supply and demand. Responsibilities include building and maintaining infrastructure for pricing experimentation, monitoring, and analysis. The position requires partnering with product data scientists to productionize innovative pricing solutions. The work focuses on ensuring service competitiveness and fleet profitability across all operating markets.

Candidates must possess a Bachelor of Science degree in Computer Science or equivalent practical experience. A minimum of four years of experience programming in backend coding languages is required. Applicants must demonstrate experience in building backend distributed systems. A Master of Science degree in Computer Science is preferred.