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Data Scientist Production

Original title: Data Scientist Produktion (m/w/d)

FERCHAU GmbH · Friedrichshafen, Germany · Hybrid · Senior

  • Friedrichshafen, Germany · Hybrid
  • German · English

Indexed (today) · refreshed constantly

Start
flexible
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
FE76-39326-FN

Required skills

Nice to have:DatabasesETLMESSAPMicrosoft AzureAWSData ScienceSPCIndustrial EngineeringQuality ManagementIoTSmart Factory

Languages: German · English

Job description

We are looking for a Data Scientist to optimize industrial manufacturing processes at our Baden-Württemberg location. The position is hybrid and involves exciting tasks in data analysis and digital transformation.

Project overview

We are looking for a Data Scientist (m/f/d) for the optimization of industrial manufacturing processes at our location in Baden-Württemberg. The position is designed as hybrid and offers exciting tasks in the field of data analysis and digital transformation.

Your tasks include the analysis of large production, quality, and machine data as well as the development of data models for process optimization. You will build and expand KPI and reporting systems with modern visualization tools and create interactive dashboards for various departments and management. Through statistical evaluations, trend analyses, and SPC methods, you will identify causes for quality deviations and disruptions in the production process.

A focus is on the development of predictive analytics and machine learning models for continuous process improvement. You will automate regular data analyses and reports using ETL processes and support Industry 4.0, IoT, and Smart Factory projects. Close cooperation with the departments of Production, Industrial Engineering, IT, and Quality Management is essential.

We expect a completed degree in Computer Science, Data Science, Mathematics, Statistics, or Industrial Engineering. Experience in the analysis of large industrial datasets, knowledge of Python, R, or SQL, and competence with visualization tools such as Power BI, Tableau, or Qlik are required. Statistical understanding and machine learning knowledge are necessary. Experience with databases, ETL processes, MES systems, SAP, as well as cloud platforms such as Azure or AWS is advantageous. Understanding of industrial manufacturing processes and fluent German and English skills complete the profile.

Project details

  • Start: flexible
  • Remote: hybrid
  • Location: Friedrichshafen, DE
  • Languages: German, English

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