Data Scientist, Fleet Orchestration Algorithms

Job description

Job responsibilities

• 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
• Work with specialists in marketplace economics, forecasting, and autonomy to turn their models into decisions the fleet acts on
• Measure impact on revenue, utilization, and rider experience through simulation, offline evaluation, and online experiments
• Contribute to how we evaluate and roll out orchestration improvements

Job requirements

• 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
• 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…
• Strong coding skills in Python, C++, or Rust; you write clean, tested, version-controlled code
• Ability to turn ambiguous real-world problems into well-defined models and explain the tradeoffs to non-specialists
• Good communication and collaboration skills
• Internship or research experience in ride-hailing, delivery, logistics, or AV fleets (dispatch, routing, rebalancing, pricing)
• Algorithms deployed in production or used on real operational data
• Publications in operations research, transportation, or robotics venues