Lead the implementation of data science prototypes and projects, supporting digital transformation initiatives.
Contribute to scaling successful prototypes into broader implementation efforts
Support the development of automatic data collection and experiment protocoling tools to streamline data analysis processes.
Assist in automating data analysis in laboratories and production plants, improving efficiency and accuracy.
Contribute to promoting a data-driven culture, data science and automation in laboratory and production environments.
Work closely with chemical engineers, chemists, and other stakeholders to understand their data needs and provide analytical support. Visualize and communicate analytical findings to both technical and non-technical stakeholders.
Facilitate the integration of data science insights into process development and decision-making workflows.