Data Science Engineer in Vehicle Motion Fields

COMPREDICT GmbH; Darmstadt; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading automotive technology firm in Darmstadt is seeking a Data Science Engineer to analyze vehicle motion data and contribute to virtual sensor solutions. The ideal candidate will have a Master’s degree in Automotive Engineering or Data Science and strong programming skills in Matlab and Python. This role involves collaborating with cross-functional teams to develop innovative solutions and improve model performance.

Qualifikationen

• Master's degree in Automotive Engineering, Mechanical Engineering, Data Science, or a related field.
• Solid knowledge of vehicle dynamics and automotive engineering and testing principles.
• Hands-on experience in CAN signal processing.
• Strong programming skills in Matlab/Simulink and Python.
• Experience with data science techniques (e.g., statistical analysis, machine learning, data modeling).
• Excellent communication skills in English; proficiency in German or other languages is an advantage.

Aufgaben

• Analyze and process vehicle data, including CAN signals, to extract meaningful insights.
• Develop and validate advanced methods for manoeuvres and testing scenarios classification and labelling.
• Apply data science methods to improve model accuracy, performance, and scalability.
• Collaborate with cross-functional teams to deliver data-driven solutions tailored to customer requirements.
• Document processes, models, and findings clearly for both technical and non-technical stakeholders.

Kenntnisse

Data analysis

Signal processing

Statistics

Programming in Python

Machine learning

Ausbildung

Master’s degree in Automotive Engineering

Tools

Matlab/Simulink

Jobbeschreibung

Your mission

Over the past few years, we’ve been developing virtual sensor technologies that focus on replacing or complementing physical sensors in automotive chassis systems, particularly in the areas of tires and suspension. By leveraging signal processing, data-driven modeling, and basic AI techniques, we help automotive companies reduce hardware dependency while enabling new functions such as vehicle condition monitoring and load estimation. With the increasing shift toward Software Defined Vehicles and broader access to vehicle data, exciting opportunities have emerged in vehicle motion control and advanced analytics. We\u2019re looking for a Data Science Engineer who is eager to work with vehicle motion data and contribute to the development of the next generation of virtual sensor solutions.

Key Responsibilities

• Analyze and process vehicle data, including CAN signals, to extract meaningful insights.
• Develop and validate advanced methods for manoeuvres and testing scenarios classification and labelling.
• Apply data science methods to improve model accuracy, performance, and scalability.
• Collaborate with cross-functional teams to deliver data-driven solutions tailored to customer requirements.
• Document processes, models, and findings clearly for both technical and non-technical stakeholders.

Your profile

• Master’s degree in Automotive Engineering, Mechanical Engineering, Data Science, or a related field.
• Solid knowledge of vehicle dynamics and automotive engineering and testing principles.
• Hands-on experience in CAN signal processing.
• Strong programming skills in Matlab/Simulink and Python.
• Experience with data science techniques (e.g., statistical analysis, machine learning, data modeling).
• Excellent communication skills in English; proficiency in German or other languages is an advantage.

COMPREDICT is driving the paradigm shift towards software-defined vehicles, offering next-level solutions for sustainable mobility. Founded in 2016 in Darmstadt, Germany, by Dr. Rafael Fietzek and Dr. Stéphane Foulard, our focus lies in developing Virtual Sensors for Mobility to optimize vehicle design, usage, and maintenance. We partner with and serve automotive manufacturers and Tier1 companies worldwide. With a diverse team of 35+ members from 10 different nations, we are on an exciting journey of growth and innovation.