
Data Scientist, Robotaxi Performance β Capability
Posted 17 hours ago

Posted 17 hours ago
This is a fully remote position, open to applicants in California.
β’ Analyze driving behaviors and operational incidents to determine the causes and frequency of deviations from driverless service expectations.
β’ Develop actionable metrics, establish performance baselines, and create dashboards to monitor progress across models, software, and product iterations.
β’ Utilize statistical techniques to evaluate rare occurrences, measure uncertainty, and differentiate significant improvements from random fluctuations.
β’ Collaborate with various teams at Wayve to convert findings into development priorities, targeted validation efforts, and enhanced data collection.
β’ Participate in product readiness assessments by providing evidence of advancements, outstanding limitations, and confidence in the conclusions drawn.
β’ Evaluate real-world driving and validation datasets to pinpoint performance deficiencies, quantify operational impacts, and monitor progress.
β’ Identify areas where enhanced model performance can be beneficial and where additional system or product capabilities are necessary.
β’ Establish metrics for remote assistance, passenger pick-up and drop-off operations, passenger interactions, vehicle readiness, and recovery from operational disruptions.
β’ Assess intervention demand, mission success rates, recovery durations, and vehicle availability.
β’ Examine safety-critical interventions, unnecessary halts, stuck scenarios, and maneuver executions across diverse road types and operating conditions.
β’ Partner with Model Development, Behavioral Validation, Safety, and Robotaxi Engineering teams to aid in the development of safe, dependable, and scalable driverless services.
β’ A minimum of three years of pertinent experience in data science, automotive data analysis, or a related discipline.
β’ Practical experience with Python, SQL, statistical analysis, and tools for examining and visualizing extensive datasets.
β’ Capability to transform ambiguous real-world challenges into quantifiable questions, relevant KPIs, and practical analytical methodologies.
β’ Experience in analyzing intricate systems, identifying performance constraints, and converting insights into product or engineering enhancements.
β’ Knowledge of statistical confidence, rare-event analysis, performance distributions, and trends.
β’ Ability to work autonomously with incomplete data, make reasonable assumptions, and adjust methods as new information becomes available.
β’ Effective communication with engineering, product, and leadership stakeholders, including the ability to clarify findings and their limitations.
β’ Valuable experience in autonomous driving, ADAS, robotics, mobility services, or other complex physical systems.
β’ Familiarity with vehicle dynamics, driving behavior, safety-critical incidents, or operational reliability would be advantageous.
β’ A relevant masterβs degree or PhD in Physics, Statistics, or Mathematics is a plus.
β’ Significant equity, allowing participation in the ownership and long-term success of Wayve.
β’ Relocation assistance and visa sponsorship where applicable.
β’ Flexible working arrangements suited to your role and location, with chances for in-person collaboration.
β’ Learning and development budgets supporting training, conferences, and personal growth.
β’ Comprehensive benefits package including health insurance, dental coverage, enhanced maternity and paternity leave, retirement or pension plans where applicable, access to therapists, wellbeing partnerships, team social events, and more.
β’ Hybrid working model that combines in-person collaboration with focused remote work.
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