Grossunternehmen |
1100 Angestellte (Schweiz) |
| Temporär: Nein | Pensum: 100% |
| Winterthur | Sprache: en |
| Homepage |
Sulzer ist ein führendes Ingenieurunternehmen mit einer stolzen Tradition der Innovation. Werden Sie Teil unseres
globalen Teams, um Ihr Fachwissen zu erweitern und innovative Lösungen zu entwickeln, die eine prosperierende und
nachhaltigere Gesellschaft ermöglichen.
Was Sie erwartet
Are you passionate about innovation and eager to make a real impact in the transition to a more sustainable future? As
part of our dynamic R&D team within the Technology & Innovation organization, you’ll play a key role in developing
cutting-edge solutions - from initial concept to commercialization. In this position, your focus will be on digital and
data-driven solutions in areas such as biopolymers, separations & purification technologies, bio-based fuels &
chemicals, recycling, carbon capture and beyond. This is your chance to contribute to sustainable innovation at the
forefront of industrial transformation.
Your main tasks and responsibilities:
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Lead and implement digital & data-driven capabilities for product & process development to solve high impact business
problems.
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Combine data-driven, statistical, classical models and domain experience to drive and accelerate key R&D initiatives.
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Work in close collaboration with multi-functional project teams to develop digital and data-driven solutions.
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Develop insights from complex datasets, generate data-driven hypotheses, design experiments and drive the development
of optimized products and process solutions.
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Design and implement end-user data-driven/digital tools for advanced analytics, predictive algorithms and data
visualization.
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Communicate actionable insights using data to a diverse audience across all levels of the organization.
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Be an ambassador for data-driven mindset across the organization.
To succeed in this role, you will need:
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Doctoral degree in Chemical/Process Engineering or a related field.
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Proficiency in applied data science in the chemical/process engineering domain preferably in separations &
purification, polymers, catalytic or renewable process development.
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Experience in exploratory data analysis with scarce and multidimensional data.
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Experience in mechanistic/black box/hybrid modelling approaches to combine data science methodologies with engineering
knowledge ( i.e. , for kinetic and process modelling & optimization).
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Highly proficient programming skills, preferably in Python is a must have.
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Experience in end-user software development & methodologies (DevOps/MLOps) is a big plus.
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Hands-on experimental experience in the above-mentioned fields is a plus.
Wir bieten
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25 days holidays (exclusive of bank holidays) + service days
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Defined contribution pension scheme
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Employee Assistance Program/health care
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On-site car parking/public transport allowance
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Access to a wide range of discounts
Sulzer ist ein Arbeitgeber, der Chancengleichheit fördert. Wir glauben an die Stärke einer vielfältigen Belegschaft
und setzen uns für ein integratives Arbeitsumfeld ein.
Wir sind stolz darauf, in Brasilien, Kanada, China, Finnland, Deutschland, Irland, Mexiko, der Schweiz, Südafrika,
Großbritannien und den USA als Top-Arbeitgeber 2026 ausgezeichnet worden zu sein.