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 Project Manager Data Science at our production/R&D site and division head office in Sins (Aargau) to implement and manage our new machine learning program in close collaboration with specialists and researchers from ETH Zürich. 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 data science processes & technologies
Understand the nature of the business and production processes, discover the key challenges and articulate adequate technical solution
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
1+ years of experience in project management, ideally with data science and / or projects in the context of mechanical, process or chemical engineering
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 in Python
Ability to document and communicate complex results to a technical and non-technical audience
Experience or interest in production technologies similar to foam processing and chemical processing
Strong business acumen, structured and logical thinker, result oriented, capable to take and substantiate decisions; driven to continuously learn by solving complex challenges by applying scientific methods that have real-world impacts
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.
Airex AG / Sins
Frau Laurielle Lötscher
HR Business Partner
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