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Deze vacature is niet meer vacant: Intern Data Science

Werkgever:Mercedes-Benz Customer Assistance Center Maastricht
Plaats:Maastricht

Oorspronkelijke vacature omschrijving:

The organisation

The Mercedes-Benz Customer Assistance Center [MBCAC] is located in Maastricht, the Netherlands and supports all after sales customers for passenger cars, trucks and vans in Europe. In 2015 the MBCAC has been granted the world wide governance role for all Mercedes aftersales call centers around the globe. As a consequence the local IT Provider for the MBCAC has transformed into a Global Service Provider for the core CRM and telephony applications of Daimler.

Currently we are in the middle of a transition to enable this worldwide expansion to 54 countries. Do you want to become a part of our international team and help us setup and operate the global Platform?

The function

As a Data Scientist it is your main responsibility to use machine learning to generate automatic insights of our customers and the MBCAC. Based on discussions with domain experts, you will be able to select and prepare the dataset, and develop a machine-learning model. During this process, you constantly keep the end product in mind to deliver optimal quality.

You will demonstrate your ability to understand complex problems, to identify the best approach for analysing your data and to recognise insights which will provide operational value to the CAC. You will be able to communicate your findings through the use of compelling presentations and/or visualisations. A team of experienced IT and BI professionals will be available to assist you in achieving the best possible results.

You will be part of the team “DWH & BI Platform Management”, which is responsible for the technical architecture, development and operations of the global DWH & BI business services, which are part of the Compass environment.

Requirements

  • Master student in the area of Computer Science, Econometrics, Knowledge Engineering or equivalent.
  • Knowledge and experience with at least one of the advanced analytics tools (R, Python, Julia)
  • You are hands-on and have a critical attitude
  • Curious about data, eager to explore, with great problem solving capabilities.
  • Good communication skills
  • Able to work independently with limited work directions
  • Experience in programming (e.g. Java, C#, C++) is a pre
  • Experience with the agile way of working is a pre

The procedure

In case you want to know more about the internship, please be in touch with our recruitment office, Corporate Recruiter IT Marie-Claire Scharis (marie-claire.scharis@daimler.com)