Note: The job is a remote job and is open to candidates in USA. Wayve is hiring a Data Scientist to assess the readiness and reliability of its AI Driver for driverless Robotaxi service. The role analyzes real-world driving, validation, and operational data, builds performance metrics, and provides evidence to guide product and engineering priorities.
Responsibilities
- Investigate driving behaviours and operational events to understand where, why and how often the system falls short of driverless service expectations
- Build practical metrics, performance baselines and dashboards to track progress across model, software and product releases
- Apply statistical methods to assess rare events, quantify uncertainty and distinguish meaningful improvements from noise
- Work with teams across Wayve to turn findings into development priorities, targeted validation and better data collection
- Contribute to product readiness reviews with clear evidence of progress, remaining limitations and the confidence behind your conclusions
- Understanding driverless readiness: Assess real-world driving and validation data to identify performance gaps, quantify their operational impact and track whether they are closing
- Separating performance gaps from missing capabilities: Identify where better model performance can help and where additional system or product capabilities are needed
- Measuring the complete Robotaxi experience: Define metrics for remote assistance, passenger pickup and drop-off, passenger interactions, vehicle readiness and recovery from operational disruptions
- Evaluating service reliability: Measure intervention demand, mission completion, recovery time and vehicle availability to understand what it takes to deliver a dependable driverless service
- Exploring challenging scenarios: Investigate safety-critical interventions, unnecessary stops, stuck scenarios and manoeuvre execution across different roads and operating conditions
Skills
- You have at least three years of relevant experience in data science, automotive data analysis or a related field, with deeper experience for senior-level opportunities
- You're hands-on with Python, SQL, statistical analysis and tools for exploring and visualising large datasets
- You can turn an ambiguous real-world problem into measurable questions, useful KPIs and a practical analytical approach
- You've analysed complex systems, uncovered performance limitations and translated your findings into product or engineering improvements
- You understand statistical confidence, rare-event analysis, performance distributions and trends
- You're comfortable working independently with incomplete data, making reasonable assumptions and refining your approach as new evidence emerges
- You communicate clearly with engineering, product and leadership stakeholders, explaining both your findings and their limitations
- Experience in autonomous driving, ADAS, robotics, mobility services or another complex physical system would be valuable
- Familiarity with vehicle dynamics, driving behaviour, safety-critical events or operational reliability would also help
- A relevant master's degree or PhD in Physics, Statistics or Mathematics, particularly focused on traffic systems, autonomous driving deployment or urban mobility, is a plus
Benefits
- This role is available on a hybrid basis in Sunnyvale or remotely within the USA.
- Meaningful equity, sharing in the ownership and long term success of Wayve (location dependent).
- Relocation support and visa sponsorship where applicable (location dependent).
- Flexible working arrangements appropriate to your role and location, with opportunities to collaborate in person (location dependent).
- Learning and development budgets with support for training, conferences and growth (location dependent).
- Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more (location dependent).
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