Main responsibilities:
- Identify analytical use cases and valuable data sources to optimize manufacturing processes and product quality
- Analyze complex manufacturing data to identify trends, patterns, and opportunities for improvement
- Develop and implement predictive models and machine learning algorithms to optimize production processes
- Collaborate with cross-functional teams to build up business understanding and develop data-driven solutions
- Conduct review loops, interpretation of results, KPIs and improvement measures together with manufacturing experts
- Document and present results talking into account the different knowledge of stakeholders
- Lead projects for data science or projects with analytical scope
- Provide input and assistance for projects related to data analytics and science
- Conduct data analysis within the project scope
- Support and coordinate database set up for manufacturing related processes
- Analyze data structures and define standards and improvement measures for data quality
- Prepare and build up data pipelines together with data engineers from IT
- Define, support and create data aggregation process (ETL) to fulfill business requirements
- Develop and support implementation of algorithms running on cloud (model deployment) and Model Maintenance
- Create training concepts and train manufacturing colleagues for data related and analytical topics
Job Requirements:
- University degree in an analytical field: Data Science, applied mathematics, Statistics or a related field
- Several years of professional experience in the area of Data Science or a data driven function
- Proficiency in programming languages such as Python or R
- Good knowledge of data visualization tools like Tableau or Power BI
- Proficiency of analytical methods like regression, classification, clustering
- Experience with machine learning / artificial intelligence
- Experience with cloud systems (e.g. Azure, AWS) and Big Data technologies
- Experience with working in international environment and remote teams
- Good communication and presentation abilities: Clear and concise in communicating technical information to non-technical stakeholders
- Professional working proficiency in English
- Experience in the manufacturing industry is a plus
- Background knowledge of the mixing process and chemical knowledge is highly desirable