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Work at the forefront of automotive innovation with ZF,
one of the world’s leading automotive suppliers.

Data Analytics Engineer

Req ID 2683 Antwerpen, Belgium

  

We are looking for a new colleague in the Data Analytics department at our location in Antwerp.


Your tasks:

  • Apply methods of data science to analyze business challenges including the design of features using domain knowledge from the organization, choosing the right models for the right data, validating models and improve model accuracy
  • Data wrangling, integration and deployment
  • Ensure consistent data quality input for the models by organizational responsibilities and visualize the results and the model accuracy
  • Interact with business users in demos and user testing to ensure the business objective is met
  • Actively engage in introducing standards, improving practices, and training others

 

Your profile:

  • Degree in Data Science, Information Technology, Mechanical Engineering, Mechatronics or Electrical Engineering 
  • Experience in data analytics tools such as Python, R and PowerBI and their libraries such as pandas, numpy, scipy, etc. as well as methods such as regression statistics, decision trees and deep learning
  • Good knowledge in big data platforms (MS Azure, Hadoop/Spark) and their software stacks are desirable 
  • Experience in the integration of data sources from different systems, specifically MS Azure, Dynamics 365 and SAP and ability to link IT systems together through API's (e.g. REST) and interfaces to handle streaming data ingestion
  • Excellent English communications skills, hands-on mentality and team orientation

 

Be part of our ZF team as Data Analytics Engineer and apply now!

Contact

Kristina Raspe

(49) 0211584222117

Our Commitment to Diversity

ZF is an Equal Opportunity and Affirmative Action Employer and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.


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