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Interns in Data Science team (m/f)

Date: Nov 20, 2020

Location: Colmar-Berg, L, LU

Company: Goodyear

Goodyear is one of the world’s largest tire manufacturers. Worldwide we employ more than 69,000 people and manufacture our products in 51 facilities across 22 countries. Within the Europe, Middle East & Africa (EMEA) region, our team of almost 25,000 people is focused on designing, developing, producing, marketing, selling and distributing our tires and related services.

Do you want to be a part of a team based in Colmar-Berg working in a fast paced, world class organization, driven by leading edge technology?

… if the answer is yes, then we have just the job for you…




The opportunity:


We are currently looking for interns to join our Data Science team for 3 different projects. The project portfolio of the team supports a wide range of data-driven applications for various organizations of the company. We provide data analytics for tire performance, tire intelligence, manufacturing and business operations.


Project 1 : Predictive modeling. Develop predictive tools to generate insights and improve our processes.

Project 2 : Forecasting. Compare and implement quantitative forecasting techniques to improve our predictions.

Project 3 : Drift detection based on data-distribution methods. Evaluate and implement methods from the univariate case study based on a simple Kolmogorov-Smirnov test to more complex methods based on kernel, density distribution and clustering.



To join our team you will need:



The student should be registered in one of the following studies: Data Science, Computer Science or Mathematics.
Master level is preferred.



English is a must.


Skills & Qualifications:

•  Good knowledge of Python

•  Proven programming experience with data structures and algorithms

•  Knowledge of Machine Learning algorithms and statistics

•  Experience with Linux is an asset

•  Motivation to contribute and learn in a dynamic multi-cultural environment


--> Please mention in your cover letter which project you're interested in.



You have to be available for 5-6 months & be enrolled in a university.

Ideal starting date : January 2021 (flexible)




To find out more and to apply, visit our career portal and post your CV!

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