Industrial Data Scientist 80-100%
Infos sur l'emploi
- Annonce expirée
- Taux d'activité :80 – 100%
- Type de contrat :Durée indéterminée
- Langue :anglais (Intermédiaire), allemand (Courant)
- Lieu de travail :Industrie Nord, 26 5643 Sins
We are the global leader with the broadest portfolio of high-performing and sustainable core materials made of PET foam and balsa wood. We are the pioneers in sandwich technology with more than 75 years of experience. Since the very beginning our focus has been developing strong and solid, yet lightweight core materials, which allow the manufacturing of more durable, sustainable, and energy-efficient end products for our customers. 3A Composites Core Materials is a global organizational unit within the 3A Composites Group, a part of Schweiter Technologies. The purpose of our products is to create a stronger, lighter, and greener future.
We are looking for a Data Scientist at our production/R&D site and division head office in Sins (Aargau) to define and carry out data science projects in close collaboration with ETH specialists. We created this new position to bring our foam processing technology to the next level. You will be part of the R&D team in Sins (between Zurich / Zug / Luzern).
Your responsibilities
- Establish 3AC Core Materials’ capabilities in data science by defining the processes & technologies
- Understand the nature of the business and production processes, discover the key challenges and articulate adequate technical solutions
- Define and execute data science projects end-to-end (from data collection to model deployment) to create new business opportunities
- Analyze the data collected from the manufacturing processes to extract insights and realize improvements
- Collaborate in a cross-functional environment with internal stakeholders (e.g. production, IT, R&D) and external partners (e.g. service providers, suppliers, research labs)
Your profile
- University degree in mechanical, electrical, process or industrial engineering with practical experience in statistics, computer science, data science, machine learning or similar
- 3+ years of experience in data science or data-driven engineering roles
- Experience in building your own ML pipeline for collecting, validating, processing, training, analyzing, and visualizing real-world use cases
- Hands-on experience in software development, preferably in Python
- Strong affinity to production technologies, experience with foam processing or chemical processing is a plus
- Good organizational and self-management skills, project management experience is a plus
- Ability to document and communicate complex results to a technical and non-technical audience
- Structured and logical thinker, result oriented, driven to solve complex challenges by applying scientific methods
- Fluent in German is a must (C1), solid spoken English skills required (B2)
What do you also have to know?
We offer a flat organizational structure with efficient decision-making possibilities and an engaging working environment. We look forward to receiving your application over our online career tool.
For this position, we are supported by inspire AG / ETH Zurich in the recruitment process.
