Geographical scope
APAC
Major tasks and responsibilities
Responsible for identifying, evaluating, and modeling relationships between diverse data types across various application areas, e.g., production, R&D, procurement, SCM, sales/marketing, and finance.
Responsible for conducting both exploratory and complex data analyses using methods and tools of statistical modeling, machine learning, and artificial intelligence.
Define strategies and roadmaps for the creation, visualization, and operationalization of reusable analytical models and the required end-to-end processes from prototyping to scaling in production.
Responsible for translating requirements into prototypes and MVPs while simultaneously populating and maintaining our use case pipeline, including evaluating individual use cases based on dimensions of importance, urgency, feasibility, and financial impact.
Validate the analyses and analytical models of less senior colleagues and support and train them in all aspects of data science, tools, and frameworks.
Create requirements to actively influence data processing architecture, in close coordination with Data Engineering, and also obtain, assess, and evaluate offers from external solution providers.
Value added to the success of the company - what are the main objectives of the function?
To fulfill the value proposition of Artificial Intelligence and machine learning for Covestro by enabling the embedding of models into existing business processes. All necessary activities, as described above, are to be carried out.
The activities of the Senior Data Scientist contribute to Covestro's AI strategy allowing Covestro to master the transformation into an AI-driven company.
Contribution context
Individual Contributor
Work relations
Internal: All departments of Covestro APAC
External: Universities and research institutions, suppliers, associations in APAC
Qualifications
61A university degree (preferably Master's or PhD) in Mathematics, Physics, Statistics, Data Science, or a related field
615+ years of experience in the data science environment (7+ years is preferred), ideally in an international setting and with virtual teams
61Experience with Machine Learning frameworks such as sklearn, H2O, TensorFlow, and OpenCV, and ideally with deep learning
61Experience with SQL and noSQL databases and programming languages such as Python, R, and Java, as well as visualization frameworks like D
3.js, Plot.ly, and Matplotlib
61Able to see and create solutions for business issues
61Have an entrepreneurial perspective and enjoy working on a variety of different challenges
61Have an open-minded personality and are an approachable team player
61Enjoy working in a fluid, dynamic, and rapidly changing environment
61One of the core competencies is convincing, advising, and freely presenting to colleagues from different areas and hierarchies up to the Executive level
61Fluent English in speech and writing, as well as the willingness and ability to undertake international business travel, round off your profile
Key figures (operating Budget, Turnover, Purchasing Volume, Project Cost, etc.)
As part of their activities, the Senior Data Scientist is responsible for approximately 500k EUR in project budget.