Applied Data Scientist - Frauenfeld, Schweiz - Stadler Signalling Deutschland GmbH

Stadler Signalling Deutschland GmbH

Geprüftes Unternehmen

Frauenfeld, Schweiz

vor 2 Wochen

Geschrieben von:

Lena Schneider

beBee Recruiter

Beschreibung

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Applied Data Scientist - Development of Condition Monitoring Use Cases

Frauenfeld, Switzerland

Openend

Stadler has been building trains for over 80 years. With our innovative strength, flexibility and reliability we are a leading manufacturer of rail vehicles today.

In addition to our Swiss locations, around employees work at several production and engineering sites and over 70 service locations in Europe, North America and North Africa.

Our passion for trains goes beyond building them.

As a complete service provider and dedicated partner, we guarantee safety, availability and operation - because we want our customers to have very happy customers of their own.

Join our team and help us shape the future of mobility

YOUR TASKS
Identify and develop end-to-end condition monitoring use cases for condition based maintenance (CBM) on rolling stock, including:

Identify within available data, which ones could be used for condition monitoring
Develop data processing frameworks for online condition monitoring (data logging, data processing, minimum viable product/dashboard)
Match results with feedback from the field to identify the relevant maintenance tasks which could be performed based on condition
Document your findings and advertise to the rest of the company and to our clients
Support and manage industrialisation of findings and transfer between various fleets of different generations
Help the team in staying uptodate with the latest developments in datadriven maintenance related topics
Advertise, manage and supervise student projects from Engineering schools, universities and federal institutes

YOUR PROFILE

You have Master's or PhD degree in Data Science, related technical field, or a Bachelor with equivalent practical experience
You have engineering experience (education or practical experience)
You have a very good and proven command of Python
A very good command of German and/or English
You have experience with applied data science and are not afraid to deal with unlabelled data from various data sources
Strong analytical and problem solving skills: A system engineer spirit in trying to understand technically the system under study to quickly converge toward efficient and relevant monitoring solutions
Good communication skills on multiple levels: being able to involve people from varied background in your projects, from the technicians in the workshop, the system experts to the commercial project leaders of our clients

I AM HAPPY TO HELP

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Information for applicantsMelissa Weishaupt

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