Staff Data Analyst

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Job Description:

We are looking for an experienced ODD & Behavioural Competency Analyst to join a leading autonomous driving technology company. You will play a key role in defining Operational Design Domains (ODDs), analyzing traffic patterns, and optimizing data collection for autonomous vehicle (AV) models.

What you’ll do:

• Define and analyze Operational Design Domains (ODDs) for autonomous driving across multiple regions.
• Identify ODD boundaries, edge conditions, and failure triggers for safe system design.
• Build and maintain a taxonomy of behavioural competencies required for safe driving.
• Quantify and prioritize ODD parameters and competencies to guide data collection.
• Recommend data slices required for safe, predictable system performance in new markets.
• Analyze local traffic laws, driving behaviours, and regulatory requirements.
• Collaborate with legal, safety, data engineering, simulation, and product teams.
• Provide insights to scenario library development, synthetic data generation, and test case prioritization.
• Use statistical models to identify data gaps impacting Mean Time Between Failures (MTBF).
• Guide teams on additional data needed to achieve MTBF targets in each ODD.

Your superpowers:

• 7+ years of experience in systems engineering, transportation analysis, data science, or a related field.
• Proven experience with traffic system modeling, AV/ADAS technologies, or urban mobility analysis.
• Familiarity with traffic regulations and human driving behaviours across regions.
• Proficiency in data analysis tools (Python, SQL, GIS, Jupyter).
• Ability to visualize ODD and scenario coverage metrics.
• Strong problem-solving skills and an execution-focused mindset.
• Experience working cross-functionally with technical and non-technical teams.
• Excellent communication skills, with the ability to translate analysis into actionable insights.

Why join us?

• Be part of a cutting-edge company pioneering autonomous driving technology.
• Collaborate with a diverse, cross-functional team.
• Hybrid working model offering flexibility.
• Opportunity to shape the future of transportation with advanced data strategies.
• Access to continuous learning and development opportunities.

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