Data Scientist, Fleet Orchestration Algorithms

What you'll do

• Design, prototype, and help deploy algorithms for vehicle assignment, staging, routing, and pricing.
• Model orchestration inputs as objectives and constraints, collaborating with specialists to turn models into fleet decisions.
• Evaluate effects on revenue, utilization, and rider experience through simulation, offline evaluation, and online experiments.

What they ask for

• PhD or MS with 2+ years of relevant industry or research experience in a listed or related field.
• Deep expertise in at least one listed area, such as combinatorial/integer optimization, stochastic optimization or control, reinforcement learning/approximate DP, network flows, or marketplace/demand modeling.
• Strong coding skills in Python, C++, or Rust; writes clean, tested, version-controlled code.
• Can formulate ambiguous real-world problems as models and explain tradeoffs to non-specialists; good communication and collaboration skills.

Nice to have

• Internship or research experience in ride-hailing, delivery, logistics, or AV fleets.
• Algorithms deployed in production or used on real operational data; publications in operations research, transportation, or robotics venues.

Pay

USD 177,000–217,000 per-year-salary (base salary)

Tools

Python, C++, Rust

AI focus

Develops and evaluates autonomous fleet orchestration algorithms, including assignment, staging, routing, and pricing.