Staff Data Scientist
Mission Lane- Full Time
- Senior (5 to 8 years)
Candidates should have deep knowledge of Economics, Operations Research, or Mathematical Optimization. Experience driving decision-making at various levels in an organization is required, along with familiarity with SQL, Python, R, or Scala. Sound statistical inference skills are essential, as well as the ability to communicate uncertainty appropriately to engineering and business stakeholders. Experience designing metrics and building mechanisms to fuel business insights is also necessary.
The Staff Data Scientist will collaborate with product software to deploy models for fleet allocation, ETA, and pricing. They will design algorithms to automatically allocate vehicles to deliver a premium experience to customers and establish best practices and statistical rigor around data-driven decision-making.
Develops autonomous electric ride-hailing vehicles
Zoox focuses on creating a fully integrated autonomous ride-hailing service designed specifically for urban transportation. Unlike other companies that modify existing vehicles for self-driving capabilities, Zoox has engineered its own vehicle from the ground up, optimizing it for safety, efficiency, and passenger comfort. The vehicle features advanced sensors, cameras, and AI systems that allow it to navigate complex city environments. It can carry up to four passengers in a spacious interior, ensuring a pleasant ride experience. Safety is paramount, with rigorous testing and collaboration with regulatory bodies to meet high standards. Additionally, Zoox's vehicles are fully electric, promoting sustainability by reducing emissions. The company also develops a user-friendly ride-hailing platform that uses data analytics to improve routing and reduce wait times. Zoox aims to enhance urban mobility while prioritizing safety and environmental responsibility.