Overview
In this Senior Data Scientist role, you connect Wayve’s embodied AI with real-world automotive needs by translating data into dependable vehicle behavior and informing model development. You’ll work across safety, validation, data analysis, and partnerships to define data collection, assess dataset bias, and turn findings into actionable product recommendations. The role emphasizes shaping evaluation methods and evidence for dependable performance, not just building models. You’ll operate in a fast-scaling, cross-functional environment, influencing what is developed and how it is evaluated. This is a mission-driven opportunity to improve reliability across diverse geographies and road types.
Pay / Benefits
- Salary benchmarked against market
- Equity and ownership
- Relocation support and visa sponsorship
- Hybrid working model with core hours
- Learning and development budgets
- Comprehensive benefits (health, dental, well-being)
Responsibilities
- Analyze target markets and driving environments to define ODD boundaries and failure triggers
- Map driving competencies to regional ODD demands and quantify complexity using traffic data
- Assess model performance metrics to identify data gaps, edge cases, and improvement opportunities
- Study reliability via historical data and MTBF metrics to guide data strategies
- Translate findings into data requirements, technical needs, and deployment recommendations with cross-functional partners
- Characterize ODD environments (geography, infrastructure, weather, traffic)
- Develop a taxonomy of driving competencies tied to ODD demands
- Create framework for prioritizing data collection across ODD conditions and competencies
- Investigate model KPIs and driving patterns to align current and required behavior
- Identify data gaps and high-variance behaviors affecting MTBF and propose Data needs
- Contribute to scenario libraries, synthetic data, and test-case prioritization
Key requirements
- 7+ years in systems engineering, automotive data analysis, data science or related field
- Familiarity with traffic regulations and human driving behaviors across geographies
- Proficiency with Python, SQL, GIS, Jupyter; experience with large datasets on Databricks
- Ability to visualize and communicate ODD and scenario coverage metrics
- Ability to translate domain analysis into technical and product requirements
- Thrives in an agile, fast-scaling environment with strong execution mindset
- Cross-functional collaboration
- Clear communication of complex analyses
- Execution-focused mindset
- Python
- SQL
- GIS
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