Responsibilities
Collaborate with data engineers and data scientists to design, build, deploy, maintain (ML CI/CD pipeline) and scale (e.g. distributed training) internally developed data science solutions
Assess feasibility and model building in close collaboration with data scientists
Ensure availability & usability and create measures for reliability and performance of data science solutions
Utilize domain-specific knowledge to ensure relevance of solutions and usefulness of results
Provide basic support in data engineering
Contribute to projects conducted with internal divisions & functions and / or external institutions / vendors to find and / or develop advanced methodologies & technologies to operationalize data science
Consult Evonik divisions and functions in the areas of operationalizing of data science applications
Exchange insights with Evonik colleagues to support organizational learning
Collaborate on a global basis with other departments to create awareness of value generated using data science techniques
Support trainings and development of fellow Evonik employees in data science
