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ZF is a global technology company supplying systems for passenger cars, commercial vehicles and industrial technology, enabling the next generation of mobility.

ZF allows vehicles to see, think and act. In the four technology domains of Vehicle Motion Control, Integrated Safety, Automated Driving, and Electric Mobility, ZF offers comprehensive product and software solutions for established vehicle manufacturers and newly emerging transport and mobility service providers. ZF electrifies a wide range of vehicle types. With its products, the company contributes to reducing emissions, protecting the climate and enhancing safe mobility.

Data Scientist (m/f/d)

Country/Region:  ES
Location: 

Barcelona, ES, 08018 Barberá del Vallés, ES, 08210

Req ID 44863 Barcelona, Barberá del Vallés, Spain
     

We are looking for a new colleague in the Global Commercial Excellence department of ZF Aftermarket at our location in Barcelona or District 22@ Barcelona.

 
ZF is growing its advanced analytics competencies, and will open a brand new location near 22@Barcelona “Districte de la innovació” to rocket thrust data innovation forward in an environment ideal for technological breakthroughs, passion for the sciences, entrepreneurial mindsets, and excellent work-life balance. The aftermarket environment is undergoing a massive shift in electrified, connected, intelligent and shared mobility, and we invite you to watch the following keynote speech from our Vice President outlining ZF’s exciting new strategy in this space:

https://youtu.be/fDoYd9ZP8Nk?t=175.


Your tasks:

  • Prototyping of advanced analytics data products (models for business recommendations, segmentations, optimizations & statistical forecasts) across marketing, sales, pricing & logistics, and creation of relevant algorithms which can improve how the business operates 
  • Business Understanding: acquire understanding of the business problem with the help of business analyst
  • Data Understanding: lead the exploration of the data
  • Modelling: create hypothesis of which models could fit the data, test the different hypothesis, find optimal parameters
  • Results: share the prototype results and get feedback to have its model improved

 

Your  profile:

  • Strong Background in both Computing and Statistics (academical and/or by experience)
  • Unsupervised and Supervised models including tree-based models and linear models in Python, R & Pyspark. Experience with (Deep) Neural Networks and Bayesian modelling is desirable
  • Databases (ex. Oracle, AWS S3). Big Data platforms (ex. Databricks, GCP, Cloudera)
  • Knowledge of Visualization tools is highly desirable (ex. such as Tableau, PowerBi, Qlikview)
  • Team player, ability to deal with uncertainty and ambiguity, business acumen, communication skills (mostly data storytelling)


The position is part of the ZF Global Employee Referral Program.

 

About ZF:
ZF is a global technology company suppling systems for passenger cars, commercial vehicles and industrial technology, enabling the next generation of mobility. ZF allows vehicles to see, think and act. In the four technology domains of Vehicle Motion Control, Integrated Safety, Automated Driving, and Electric Mobility, ZF offers comprehensive product and software solutions for established vehicle manufacturers and newly emerging transport and mobility service providers. ZF electrifies a wide range of vehicle types. With its products, the company contributes to reducing emissions, protecting the climate and enhancing safe mobility. In fiscal year 2020 ZF reported sales of €32.6 billion. 
The company employs more than 150,000 associates at approximately 270 locations in 42 countries.

 

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

Contact

Elise Cosquer

+49 211 584 222 221

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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