Sulzer Careers R&D Data Scientist
Share
Job Location:
Winterthur - Switzerland
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
CTTechnology & Innovation-E122
R&D Data Scientist-Full Time-WinterthurSwitzerland
Sulzer is a leading engineering company with a proud heritage of innovation. Join our global team to grow your expertise and develop innovative solutions that enable a prosperous and more sustainable society.
We are looking for a R&D Data Scientist to join our CTTechnology & Innovation team in Switzerland.
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 youll play a key role in developing cutting-edge solutionsfrom 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:
- Lead and implement digital & data-driven capabilities for product & process development to solve high impact business problems.
- Combine data-driven statistical classical models and domain experience to drive and accelerate key R&D initiatives.
- Work in close collaboration with multi-functional project teams to develop digital and data-driven solutions.
- Develop insights from complex datasets generate data-driven hypotheses design experiments and drive the development of optimized products and process solutions.
- Design and implement end-user data-driven/digital tools for advanced analytics predictive algorithms and data visualization.
- Communicate actionable insights using data to a diverse audience across all levels of the organization.
- Be an ambassador for data-driven mindset across the organization.
To succeed in this role you will need:
- Masters or Doctoral degree in Chemical Engineering/Process Engineering or a related field.
- Proficiency in applied data science in the chemical/process engineering domain preferably in polymers separations & purification catalytic or renewable process development.
- Experience in exploratory data analysis with scarce and multidimensional data.
- Experience in mechanistic/black box/hybrid modelling approaches to combine data science methodologies with engineering knowledge (i.e. for kinetic and process modelling & optimization).
- Highly proficient programming skills preferably in Python is a must experience in end-user tool development is a plus.
- Fluency in English written and spoken. German is a plus.
- Willingness to occasionally support hands-on data collection from the lab/pilot-plant/manufacturing operations.
What we offer you:
- An innovative vibrant and agile culture where you can contribute to a more sustainable future
- Excellent social benefits (holidays pension fund etc.)
- Attractive employment conditions
- Access to a wide range of discounts on Everyday Shopping Entertainment and Lifestyle
No visa or work permit support can be provided for this role.
Do you have a question about the role
Reach out to Sarina Studer at Our team is looking forward hearing from you!
Sulzer is an equal opportunity employer. We believe in the strength of a diverse workforce and are committed to offering an inclusive work environment.
We are proud to be recognized as a Top Employer 2025 in Brazil China Finland Germany Ireland Switzerland South Africa the UK and the USA.
Not translated in selected language
Key Skills
- Laboratory Experience
- Vendor Management
- Design Controls
- C/C++
- FDA Regulations
- Intellectual Property Law
- ISO 13485
- Research Experience
- SolidWorks
- Research & Development
- Internet Of Things
- Product Development
About Company
Sulzer is a global leader in fluid engineering. We specialize in pumping, agitation, mixing, separation and purification technologies for fluids of all types.
