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Data Scientist Automotive EMEA

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 

Job Overview

  • Lead projects and work together with our Automotive EMEA Operations plants, internal (IT, TEIS, Corporate Technology, CoE, SC, ..) and external partners in the area of Digital Factory (Applications, ML, AI, DL), aligned with Operations Automotive EMEA Strategy;
  • Lead Digital Factory improvement projects (Enhancements) of existing applications together with internal / external supplier and customers (project management) until the level of RTD (Ready To Deploy);
  • Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems;
  • Identify and interpret data sources, manage large amounts of data, merge data sources together, ensure consistency of data-sets, create visualizations to aid in understanding data;
  • Develop, Validate and Deploy (including Training and Coaching of the users) until the level of RTD (Ready To Deploy), Digital Factory Applications, ML models, contributing to waste elimination and efficiency improvements within all Operations functions (Manufacturing, Quality, SC, LOG, ….), this together with our internal and external partners;

What your background should look like:

  • Bachelor or Master in Data Science/ Good understanding of a technology driven manufacturing company;
  • Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding;
  • Experienced with data visualization tools like PowerBi, Tableau, ThingWorx/ Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Development experience in programming languages R, Python; Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks and deep learning/ Experience in technologies like, Jupyter Notebooks, Numpy, Pandas, Seaborn, Scikit-learn, PyTorch and TensorFlow;
  • Exposure to recent developments in Deep Learning domain/ Database skills, on-premises and cloud based;
  • The ability to translate, explain and bring, complex data science topics to an easy understandable level, speeding up acceptance level in general;
  • Passioned about the combination Technology, Data, Analytics and Statistics with link to Quality, Product and Process Engineering;


Values: Integrity, Accountability,Teamwork, Innovation


State:  KE
Country/Region:  HU
Travel:  25% to 50%
Requisition ID:  67145
Alternative Locations: 
Function:  Engineering & Technology

Job Segment: Database, Scientific, Engineer, Computer Science, Engineering, Technology, Automotive

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