Data Scientist, Robotaxi Performance – Capability

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🏄 California – Remote

🏄 California – Remote

💵 $209.7k - $280k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Wayve

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

🚗 Transport

🚘 Automotive

Artificial Intelligence • Transport • Automotive

Wayve is a technology company pioneering the development of advanced AI-based autonomous driving solutions. With a focus on end-to-end AI, Wayve's platforms like the Wayve AI Driver enable a new era of next-generation autonomous vehicles that are capable of learning from dynamic environments and human behavior. Offering fleet solutions for last-mile delivery and ride-hailing, Wayve's mapless AI technology ensures scalability across different vehicles and geographies. The company also explores cutting-edge research in embodied AI and autonomous driving, aiming to advance the safety and reliability of driverless vehicles. Partnering with leading names in technology, Wayve strives to shape the future of mobility.

📋 Description

• 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 evidence of progress, remaining limitations and confidence in conclusions • Assess real-world driving and validation data to identify performance gaps, quantify operational impact and track progress • Identify where improved model performance can help and where additional system or product capabilities are needed • Define metrics for remote assistance, passenger pickup and drop-off, passenger interactions, vehicle readiness and recovery from operational disruptions • Measure intervention demand, mission completion, recovery time and vehicle availability • Investigate safety-critical interventions, unnecessary stops, stuck scenarios and manoeuvre execution across different roads and operating conditions • Collaborate with Model Development, Behavioural Validation, Safety and Robotaxi Engineering teams to support safe, reliable and scalable driverless service development

🎯 Requirements

• At least three years of relevant experience in data science, automotive data analysis or a related field • Hands-on experience with Python, SQL, statistical analysis and tools for exploring and visualising large datasets • Ability to turn ambiguous real-world problems into measurable questions, useful KPIs and practical analytical approaches • Experience analysing complex systems, uncovering performance limitations and translating findings into product or engineering improvements • Understanding of statistical confidence, rare-event analysis, performance distributions and trends • Ability to work independently with incomplete data, make reasonable assumptions and refine approaches as new evidence emerges • Clear communication with engineering, product and leadership stakeholders, including explaining findings and 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 help • A relevant master’s degree or PhD in Physics, Statistics or Mathematics is a plus

🏖️ Benefits

• Meaningful equity, sharing in the ownership and long term success of Wayve • Relocation support and visa sponsorship where applicable • Flexible working arrangements appropriate to your role and location, with opportunities to collaborate in person • Learning and development budgets with support for training, conferences and growth • 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 • Hybrid working model combining in-person collaboration with focused remote work

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