Data Analytics Expert – Safety-Related Systems
Embrace an innovation-driven mindset to explore new approaches for achieving safer autonomous driving systems, pushing the boundaries of current data analysis methods.
- Identify and substantiate safety-related arguments using real-world data analysis.
- Develop effective verification and validation measures, as well as data collection requirements, to support evidence-based safety assessments.
- Stay informed about the latest technologies in data analytics, including AI-driven methods, as well as relevant industry standards, regulations, trends, and emerging best practices.
MSc. or PhD. Solid experience in data analytics, statistical methods, and probabilistic modelling applied to large-scale datasets.
- Strong background in techniques such as Bayesian analysis, Monte Carlo simulation, sensitivity analysis, and data mining (or similar).
- Practical experience in using data analytics for risk estimation and quantification in safety-critical and regulated environments.
- Proactive and hands-on approach, with the ability to motivate and inspire team members.
- Fluent in English; knowledge of German is considered an advantage.
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