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Senior Data Scientist – Autonomous Vehicle Dependability & ODD Analysis

wayve • United State
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Lead data-driven analysis to ensure Wayve’s autonomous driving AI performs reliably across global markets. Define operational design domains (ODDs), identify data gaps, and translate insights into actionable improvements for model development and product safety. Collaborate with engineering, validation, and product teams to optimize real-world deployment and reliability metrics.

Key Highlights
Define ODD boundaries, edge conditions, and failure triggers for global autonomous driving deployment
Analyze model performance, behavioral patterns, and reliability metrics (e.g., MTBF) using large-scale datasets
Translate domain expertise into technical requirements for data collection, validation, and scenario coverage
Key Responsibilities
Analyze target markets to map road infrastructure, weather, traffic density, and regional driving behaviors
Define ODD boundaries and edge conditions to inform data collection and system design
Develop behavioral competency taxonomies (e.g., merging, yielding) and quantify their complexity using traffic data
Identify data gaps, edge-case risks, and high-variance behaviors affecting reliability (MTBF) in ODD segments
Translate findings into data strategies, technical requirements, and deployment recommendations for cross-functional teams
Contribute to scenario libraries, synthetic data generation, and test case prioritization for simulation and validation
Technical Skills Required
Python SQL Data Analysis
Benefits & Perks
Market-benchmarked annual salaries
Meaningful equity and long-term ownership
Hybrid working model with core hours and access to vehicle workshops/labs
Nice to Have
Experience analyzing/defining ODDs for autonomous driving or ADAS systems
Master’s/PhD in Physics, Statistics, or Mathematics with specialization in traffic system modeling/autonomous driving
Familiarity with GIS tools for geographic data analysis

Job Description

Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.Our Product Dependability team connects Wayve’s embodied AI technology with the demands of real-world automotive products. Working across systems engineering, safety, cybersecurity and data analysis, the team helps translate AI capabilities into dependable vehicle-level behavior and supports integration with our OEM partners.
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