Jetzt als Data Analyst for Autonomous Driving Scenarios of OEM Test-Vehicle Fleet bei exida in Deutschland durchstarten – Bewirb dich jetzt!

Data Analyst for Autonomous Driving

Scenarios of OEM Test-Vehicle Fleet

(Full Time Position 40hrs)

The Job:

It’s all about experiencing the power of vehicle data analysis.
In multiple projects you will be responsible for detailed evaluations of given driving-scenarios or predefined points-of-interest. Together with your internal and external teams, you will identify required technical solutions, that are needed for precise and optimized identification.
Simplified example workflow: At first a theoretical approach will be worked out, following a PySpark implementation, that later will process all available data in a cloud-based fashion on AWS infrastructure.
At the end the goal is to create meaningful visualizations of the acquired output in post analysis and perform scenario-based “Residual Risk Analyses” (RRA), that will help to statistically position the results.
Results will be frequently presented to the respective stakeholders.

What we offer:

• close and trusted relationships to customers
• seamless onboarding and a ready-to-start environment
• highly experienced colleagues
• Full Home-Office capabilities
• flexible working hours
• competitive salary, numerous benefits, and a bonus system

Requirements:

• university degree in computer science, engineering, statistics, applied mathematics or similar
• Hands-On-Experience in code development (e.g. Python, PySpark, SQL, C++, R, Java, Matlab) and usage of Jupyter or Zeppelin Notebooks
• profound experience with data science, big data analytics and engineering
• optional: experience with modern cloud technology and architectures (e.g. AWS)
• business fluent in German and English
• high motivation to learn and work with state-of the art techniques and technologies

Contact:

gabriel.hipp@exida.com (Functional Safety Consultant)

linkedin.com/in/gabriel-hipp-91931915

Mob. +49 171/5342011