BASF Data Scientist (m/f) in Ludwigshafen, Germany

ComanyDescriptionResponsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team.

Competitive compensation including attractive benefits as well as excellent career opportunities in an international company.

DepartmentDescriptionLudwigshafen is the world's largest integrated chemical complex and home to BASF Group headquarters. Located in the heart of Europe's Rhine-Neckar metropolitan region, you will find this to be an attractive place for both work and play.

Learn more about BASF SE at http://on.basf.com/HeadquartersProjectDescriptionData Scientist (m/f)RequirementDescription

  • You possess a strong background in applied mathematical statistics and data science.

  • You are well experienced in using statistical software like R and/or SAS to solve real world problems and support research activities (with e.g. design of experiments).

  • You are also experienced in working with big data technology like Hadoop or SAP Hana and you know how to write MapReduce jobs.

  • You are comfortable working in multinational interdisciplinary teams and preferably, you have already gained international experience.

  • You are a creative and motivated team player with strong communication and presentation skills.

TaskDescriptionJoin our R&D Data Science team and provide BASF-wide quantitative decision support for multiple application areas. This comprises materials sciences and materials development, process and quality control which are based on data analysis, data based modeling and optimization.

  • You will be responsible for projects in this field and closely co-operating with R&D, engineering, central functions and business units.

  • You will communicate ideas and solutions of high performance computing and big data technology to a broad community of researcher scientists and developers and therefore, you will be acting as an enabler in interdisciplinary project teams.

  • You will also establish and maintain collaborations with academic research groups in that domain while evaluating new approaches and exploring new application opportunities.

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