Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Data Scientist (m/f/d)

Your tasks and responsibilities

  • Support Digital Transformation and other data scientist activities in the area of Pharmaceutical Product Supply (API)
  • Perform complex simulation, modelling and machine learning algorithms, integrate multi-layered data models from process related data sources like quality systems, process control systems, etc., process optimization and root cause analysis
  • Analyze diverse data sources to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques as well as transforming data science prototypes to end to end solutions
  • Maintain awareness of state-of-the-art technologies of advanced data analytics and artificial intelligence platforms
  • Build up and continuously update relevant process knowledge and to contribute to the development of new innovative analytical solutions
  • Analyze the data structure/data flow and develop complex analytical models of product supply processes to create opportunities by identifying bottlenecks and pain points  to improve efficiency and decision making, including KPIs to determine success and proactively identify opportunities and solve challenging production and quality process issues with a variety of data tools in  fast-paced cloud environments
  • Develop dashboards for real-time monitoring and trending of production processes with the use of statistical control limits based on the standard deviation. Utilize advanced analytics for reflection and recommendations in case of adapting threshold limits, alert limits or action limits
  • Work closely with product supply production and quality departments to develop digital strategies to improve product quality and performance outcomes and collaborate with corporate IT- and Engineering functions to understand the implications of respective architectures on cooperate data analytics and data integration/cloud platforms and maximize the value of data


Who you are

  • Post-graduate degree (Master's or Ph.D.) in Informatics, Bioinformatics, Physics, Mathematics, Statistics or equivalent education
  • Initial industry experience, ideally experienced in regulated environments like Pharmaceutical Product Supply, where big data analytics already play a significant role and ideally several years of related experience in a data science or advanced analytics environment
  • Highly experienced in a big data environment (structured and unstructured data sources), using advanced analytics, artificial intelligence, deep learning frameworks and machine learning algorithms
  • Solid understanding in statistical performance data and trend analysis to determine process anomalies
  • Broad understanding in a variety of data environments, like Hadoop HDFS, Oracle, Microsoft, Mongo, etc. and excellent coding knowledge in scripting languages like Python, R, etc.
  • Strong business acumen and able to collaborate closely with business teams as a sparring partner to identify high-impact opportunities by leveraging our extensive data assets and passion for team-work with excellent interpersonal and communication skills
  • High ability to solve problems and to structure and simplify complex scenarios as well as good presentation and communication skills to interact within a highly complex environments
  • Fluent in English and German, 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. 

Country: Germany
Location: Bergkamen
Reference Code: 33988
Functional Area:
Entry Level: