Job
In this role, you will develop analytical use cases for R&D, evaluate data, ensure data quality, and create innovative solutions through machine learning in interdisciplinary teams.
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Job technologies
Your role in the team
- Development, conception, and planning of analytical use cases for the Research & Development sector.
- Identification, consolidation, and analysis of structured and unstructured device and measurement data for strategic and operational decision-making, including ensuring sufficient data quality during collection.
- Collaboration with internal and external IT departments and service providers to implement use cases.
- Collaboration within interdisciplinary project teams to develop innovative ideas for products and services through the application of machine learning techniques.
Our expectations of you
Education
- A successfully completed degree in Data Science / Computer Science / Mathematics / Physics or similar.
Qualifications
- Analytical skills and very good technical understanding, as well as interest in product and technology.
- Skills in storytelling and visualization to translate technical aspects and relationships for management reports.
- Strong communication, moderation, and persuasion skills combined with excellent spoken and written German and English proficiency.
Experience
- Experience in practical application of artificial intelligence methods with a focus on machine learning, using cognitive Machine Learning services (MS Azure, PyTorch, SQL, DataBricks, Power BI, etc.), in the field of Data Mining and statistical data analysis.
What we offer
- Location: Gütersloh.
- Type: Full time.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Miele & Cie. is a successful German manufacturer of household and commercial appliances with its headquarters in Gütersloh. Under the leadership of Markus Miele, Reinhard Zinkann junior, Olaf Bartsch, Stefan Breit and Axel Kniehl, the company develops innovative products that meet the highest standards.
- 250+ Employees
- Established Company
- Hybrid, Onsite
- Industry, Production
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