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

Data Scientist (m/f/d)

Location: 

Antwerpen, Antwerp, BE, 2600

Req ID 36836
     

ZF Wind Power puts wind energy in motion! The ZF Wind Power Business Unit is part of ZF group which is known as one of the world’s leading automotive suppliers. Within our unit we develop, validate and service gear units used in wind turbines producing sustainable energy and we have been doing this for more than 40 years! Today we build new drivetrain solutions to meet the requirements of the future. As wind turbines continue to grow, we are continuously pushed outside of our engineering boundaries, which makes it a challenging engineering environment to work in.
Find out more: www.zf.com/windpower
 

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

Your tasks as Data Scientist (m/f/d):

  • Design and develop data analytics products and services that add value for ZF Wind Power and its customers
  • Application of data science methods and techniques on complex business and engineering problems
  • Targeted communication with all stakeholders to ensure realization of analytics products and solutions in agile projects
  • Collaboration with domain experts and interdisciplinary teams within ZF Wind Power
  • Support in making ZF Wind Power a data driven company
     

Your profile as Data Scientist (m/f/d):

  • Master or PhD in Engineering, IT or Analytics
  • Professional experience with the Python data science stack (pandas, numpy, scikit-learn, …), git
  • Experience with code quality standards and best practices for Python development
  • Team player, ability to convince and influence, creative and fast learner
  • Fluent English (Dutch and German are a plus)

 

Be part of our ZF team as Data Scientist (m/f/d) and apply now!

Contact

Mariam Ouakass

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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