Data Scientist, Fleet Orchestration Algorithms
At a glance
Mid-level Data Science role at Zoox. Foster City · full-time · $177,000–$217,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and help launch algorithms that assign vehicles, position them for upcoming needs, route trips and set prices
- Represent rider demand, data-collection value, servicing, events and policies as goals and limits for fleet decisions
- Turn specialist models in marketplace economics, forecasting and autonomy into choices the fleet can act on
- Test effects on revenue, vehicle use and rider experience through simulations, offline analysis and live experiments
- Help shape the methods used to assess and introduce orchestration changes
What you bring
- A master's or doctoral degree in a relevant field, plus at least two years of related industry or research work
- Strong depth in one listed optimization, control, learning, network-flow or marketplace-modeling area
- Strong Python, C++ or Rust skills, with experience writing tested, clean and version-controlled code
- You can formalize unclear real-world problems and explain model tradeoffs to people outside your specialty
Who this fits
This role suits an optimization generalist who wants to work across fleet assignment, staging, routing and pricing with specialists in adjacent fields. The position is onsite in Foster City.
From the employer
The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll develop the algorithms that run our robotaxi fleet: matching vehicles to riders and other missions, staging vehicles where and when they're needed, routing, and pricing.
You'll also model what goes into those decisions: rider demand, the value of the data our R&D fleet collects, servicing needs, and business inputs like events and policies. You'll be the optimization generalist on the team, working alongside specialists in marketplace economics, forecasting, and autonomy, and you'll see your algorithms run on a real autonomous fleet. You’ll join a diverse, experienced team with rapidly growing scope while working with one of the industry’s most valuable autonomous vehicle datasets.
In this role, you will:
- 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
Qualifications
- 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 work across the rest
- 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
Bonus Qualifications
- 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
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science$170k+
Find me workBy the team behind dataroles.