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Data Scientist (m/f/d)
  • Python
  • SAS
  • Machine Learning
  • Data Analysis
  • Tableau
  • Matlab
  • Modeling
  • SPSS
  • Business Intelligence
  • QlikView
146 days ago


  • Responsibility for the creation and maintenance of conceptual, logical and physical data models that define the requirements for management and business intelligence systems
  • Execution of data analysis, creation and testing of working hypotheses as well as preparation and analysis of data including the identification of patterns
  • Support in defining the analytical scope and methodology for projects, including defining and creating the models in collaboration with team members, end users, development staff and other stakeholders
  • Build internal knowledge and skills to support digital transformation
  • Support the digital transformation to optimize processes by converting data into knowledge and opportunities for the company
  • Optimization of efficiency and effectiveness in the business areas by improving the processes and their sequence in accordance with the compliance and security requirements
  • Close cooperation within the company with the local departments and corporate functions


  • University degree (PhD or MS) preferably in computer science, engineering, mathematics or statistics
  • Experience in the application of advanced analytical and statistical methods in industry
  • Experience with multivariate statistical methods (multiple regression, MANOVA, factor analysis, etc.) and machine learning methods (random forest, bootstrapping, artificial neural networks, etc.); knowledge of SAS, Matlab, Aspen, SPSS or similar modeling software is desirable
  • Programming experience in R and Python as well as practical experience with IT frameworks (HW, SW, data connection interfaces, operating systems and security)
  • Experience in the design of experiments (DoE): data preparation, data quality assessment, variable creation, variable selection as well as expertise in visualization tools (R, Qlikview, Spotfire, Tableau etc.)
  • Strong presentation and communication skills to convey analytical concepts paired with the ability to build strong networks with universities and industry innovators for a constant exchange of knowledge
  • High ability to solve problems and to structure and simplify complex tasks
  • Fluent in German and English, both written and spoken

Your application

Are you looking for a new challenge where you can show your passion for innovation? Are you interested in working as part of a global team to improve people’s lives? Then send us your online application including cover letter, CV and references.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

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