Data Scientist (Fleet Orchestration Algorithms)

Join Zoox, a company dedicated to revolutionizing transportation. As a Data Scientist specializing in Fleet Orchestration Algorithms, you will design, prototype, and deploy algorithms for vehicle assignment, staging, routing, and pricing. You will work with specialists in marketplace economics, forecasting, and autonomy to turn their models into decisions the fleet acts on. You will also measure the impact on revenue, utilization, and rider experience through simulation, offline evaluation, and online experiments.

- Design, prototype, and help deploy algorithms for vehicle assignment, staging, routing, and pricing. - Model the inputs to orchestration (rider demand, data-collection value, servicing needs, events, and policies) as objectives and constraints. - Measure impact on revenue, utilization, and rider experience through simulation, offline evaluation, and online experiments.

- Ability to turn ambiguous real-world problems into well-defined models and explain the tradeoffs to non-specialists - Deep expertise in at least one of: combinatorial/integer optimization, stochastic optimization or control, reinforcement learning/approximate DP, network flows, or marketplace/demand modeling, plus the curiosity to work across the rest - Strong coding skills in Python, C++, or Rust; you write clean, tested, version-controlled code - PhD or MS with 2+ years of relevant industry or research experience, in operations research, robotics, controls, transportation, computer science, applied math, or a related field - Good communication and collaboration skills - Internship or research experience in ride-hailing, delivery, logistics, or AV fleets (dispatch, routing, rebalancing, pricing) - Publications in operations research, transportation, or robotics venues - Algorithms deployed in production or used on real operational data