Schaeffler

Data Scientist

19 April 2024
Full Time
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Deadline date:
£126000 - £199000 / year

Job Description

 

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities. 

 

Your Key Responsibilities

  • Design and implement large-scale data solutions using Cloud technologies 

  • Implement and manage ETL processes, data transformations, data flows and service APIs  
  • Work with data virtualization, integration, and analytics technologies on our data platform 
  • Execution of analysis in the area of production and analytics
  • Development of Machine- and Deep Learning solutions in the smart factory area
  • Work in interdisciplinary, cross-functional teams according to agile methodology 
  • Closely collaborate with divisional business organizations, digitalization, and IT functions  

Your Qualifications

  • Bachelor or master’s degree in computer science, statistics, engineering or related area

  • Relevant work experience (>5 years) in the field of quantitative analytics or machine learning in the context of the manufacturing industry

  • Hands-on experience with applying machine learning algorithms and optimization techniques, as well as a profound understanding of the mathematical concepts of these algorithms

  • Good programming skills with Python

  • Familiarity with modern tech stacks and ecosystems (e.g. ML Ops)

  • Familiarity with Cloud platforms e.g. AWS, Azure, Google Cloud

  • Knowledge of ETL techniques and frameworks, such as ADF, PowerCenter, NiFi, Sqoop 

  • Good communication skills and experiences in an agile work environment

  • Proficiency in database and system administration (Linux, Windows)  

  • Experience with data virtualization architectures and platforms (e.g., Denodo) 

  • Experience with data warehouse design and development 

  • Know-how and practical experience with IoT, machine connectivity and messaging infrastructure (nats.io, e.g.)

As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.

 

Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.

 

www.schaeffler.com/careers

 

Your Contact

Schaeffler Vietnam Co., Ltd. 

Trung Nghia Nguyen 

+85937522906 

 

For technical questions, please contact this email address: [email protected] 

 

Keywords: Experienced; Engineer; Full-Time; Limited; Digitalization & Information Technology; 

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