AdresseData Analyst for Autonomous Driving
Scenarios of OEM Test-Vehicle Fleet
(Working Student or Full-Time)
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
