External Manufacturing Digital Project Manager & Data Scientist (m/f/d)
Berlin, Germany
vor 5 Tg.


  • Assume responsibility for digital projects and tasks from IT & Business perspective and drive the project team for seamless implementation
  • Apply lean & agile methodologies to translate business requirements into digital solutions with defined scope and business benefit
  • Support implementation of a 'Digital Mindset' in External Manufacturing (EM) and provide digital skills & trainings fostering Digital Transformation
  • Act as process and / or Digital Use Case Owner and ensure continuous improvement as well as routine data analysis for monitoring, simulations and decision-making
  • Implement or improve value creating digital interfaces between functions as well as Bayer and CMOs
  • Represent the EM department and collaborate with the global IT department to drive IT infrastructure and framework changes
  • Use data science tools & algorithms and execute explanatory data analyses to identify patterns
  • Drive & maintain awareness of cutting-edge application of AI and data science in life science business
  • Contribute scaling-up activities to transform data science prototypes to End to End solutions by leveraging required skills within IT and business domain experts

  • University- (MSc) or technical degree in Computer Science, Engineering, Informatics or Mathematics or other quantitative disciplines / related fields
  • Long-term experience in relevant Information Technology roles with at least some years of post-graduate experience in similar roles with proven track record in Information Technology management, innovation management and digital technology development
  • Proven track record in project management and demonstrated ability to pro-actively lead and manage projects and associated interdisciplinary teams
  • Good knowledge and experience in project execution using Agile development methodologies (e.g. Scrum, Lean, Sprints) as well as on waterfall Project Management methodology (PMBOK)
  • High problem-solving attitude with the ability to structure and simplify complex tasks
  • Strong analytical and conceptual thinking as well as reliable, target-oriented and Digital promoting personality with the ability to drive decision-making with quality and cost awareness is a must
  • Strong business analyst skills and experience in interaction with diverse internal customers is required
  • Good coding knowledge in Python and / or R, as well as proficiency with machine learning and deep learning frameworks
  • Knowledge in at least one of the following areas : Bayesian deep learning, Probabilistic Graphical Network, Gaussian processes, MCMC and / or Deep Learning (RNN, GAN...)
  • Hands-on experience on data analysis & simulation tools (e.g. R Shiny, Jupiter Notebook, Qlikview, Spotfire, Tableau) and good understanding on cloud architecture (e.
  • g. AWS, Azure) for Data Analysis

  • Fluent English; verbally and in writing
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