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Project Engineer For Applied Data Science – Frauenfeld
vor 4 Monaten
Project Engineer For Applied Data Science 70% - 100%
Project Engineer For Applied Data Science 70% - 100%
Frauenfeld, Schweiz 70% - 100% Open-end 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 13 000 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
How you can make an impact
Identify and develop end-to-end condition monitoring use cases for condition based maintenance (CBM) on rolling stock, including:
Identify how to use available data for condition monitoring Develop data processing frameworks for online condition monitoring (data logging, data processing, minimum viable product/dashboard) Match results in 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 up-to-date with the latest developments in data-driven maintenance related topics Advertise, manage and supervise student projects from Engineering schools, universities and federal institutes
How you will contribute
You can prove practical experience or education in Engineering, Computer Science, Data Science, or a related field 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
What we are looking for
We are looking for a highly motivated Project Engineer to join our team in developing innovative maintenance technologies for railway rolling stock. This role offers an end-to-end experience, where you'll play a key role in optimizing (predictive/preventative) maintenance strategies. Your responsibilities will range from understanding the needs of maintenance personnel in the field, translating those needs into clear technical requirements, and leveraging your data science skills to perform exploratory data analysis. You'll also be involved in validating the developed solutions through field testing and deploying them on the company's internal IT platform, ensuring a seamless transition to a more efficient maintenance approach.
I am happy to help
Should you have any questions, please don't hesitate to get in touch. We look forward to receiving your online application.