Saint-Gobain

Référence : VIE00116

VIE - Production Data Analyst - H/F

  • Systèmes d'Information
  • Allemagne Ladenburg
  • VIE
  • Date de publication : 24/06/2022

Description du poste

Previous studies have given us indication to better understand the intrinsic links in our process by using machine learning to model the patterns between process parameters and online mat or product properties. Our aim is to perform more of these studies to deepen our knowledge and thereby improve our level of mastering the process, improve product quality and reduce production cost.

To facilitate our efforts to develop our process towards Industry 4.0, Big Data treatment becomes more and more important. This requires candidate with a strong mathematical background that can assist in the exploration of the field and to evolve our process in the right direction.

Main responsibilities:

Implementation of machine learning algorithms and AI methods to gain knowledge on the manufacturing process of glass wool and plasterboards. This is at the core of our Industry 4.0 transformation.

  • Development of various machine learning and deep learning methods to analyze times series and numerical data, 3D online measurement data of fiberglass mat profiles and gramweigth distribution,
  • Big Data collection, machine learning, correlation analysis considering all available parameters, visualization of the results.
  • Determine ideal data extraction protocol, considering also processing capabilities of PLC/SCADA hard- and software. This will have to be done in close contact with the plant’s automation team,
  • Cooperation with different manufacturing sites of ISOVER and Gypsum/Placoplatre, for the evaluation of data collection as well as collaboration with the factory automation team to determine an ideal data extraction protocol,
  • Close cooperation with SGR Germany and discussion with process experts and data scientist at various corporate research centers e.g. with SGR Paris.

PROFIL RECHERCHÉ

  • Master’s degree in Data Science, Computer Science, Statistics or similar, with engineering background,
  • Ability to work independently (under supervision),
  • Shows initiative & creativity,
  • Rigorous, attention to detail, tenacity and organizational skills,
  • Excellent communication skills,
  • Fluent in English (written & spoken), German would be a plus.

Qui sommes-nous ?

Sustainable building and healthy living are the focus of the traditional insulating material brand ISOVER, which has been active in Germany for over 140 years as a market and innovation leader in the field of energy-efficient insulating materials and holistic construction solutions.

Top employer 2022

CES OFFRES PEUVENT VOUS INTÉRESSER

Titre du poste
Emplacement
Type(s) de contrat
ENTITÉ
Date de publication