Junior Data Scientist (m/f/d)
Our people in Manufacturing & Global Operations share two priorities: getting things done and making things better. If you’re a dynamic person with a positive mindset, you’ll fit in well here. It’s an international team with a powerful spirit of collaboration. Together, we make sure our products meet the highest standards of quality by constantly searching for ways to improve at every stage of our value chain – from the raw materials we buy through to the logistics network that brings our medicines to patients. Join our team and help us make an even bigger contribution to Grünenthal’s future.
What the job looks like
Each day you´ll enjoy a variety of challenges, such as:
- Become a part of the growing area of data science of our Global Operations areas, such as Manufacturing, Supply Chain, Procurement or Quality Assurance
- Develop industrialized diagnostic, predictive and prescriptive analytics services for the different functional areas of Global Operations
- Perform ad-hoc analysis including data collection, integration and investigation resulting in quick insights for top management
- Present the results of industrialized analytics services as well as for ad-hoc analysis to top management in an adequate format
What you´ll bring to the table
To make the most of this role and truly thrive, you should have:
- Surpassing Bachelor or Master degree in business informatics, econometrics, computer science, engineering or natural sciences incl. statistics or operations research
- 2 years professional experience, ideally in a consultancy or enterprise environment, in the area of business intelligence, data mining and analytics
- Professional skills in Python or R, Jupyter Notebook, Azure Data Lake, Data Visualization tools such as Qlik, Tableau, Power-BI and Analytic tools such as Alteryx and Dataiku as well as basic knowledge of SAP BW
- Experience in implementing data science projects according to the CRISP-DM methodology
- Solid English language skills, Spanish and German are a plus
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