(Senior) Data Scientist/Engineer (F/M) 100%

Facing the challenges of our time

Help us grow and be more impactful!

Our “Predictive Analytics” group, based in Alpnach Switzerland is looking for a (Senior) Data Scientist/Engineer.

 

Your mission

The Predictive Analytics group is looking for a motivated and skilled Data Scientist/Engineer to join our dynamic team. In this role, you will develop and deploy advanced data-driven algorithms tailored to the challenges of Swiss industry and research partners. Your expertise will ensure that our collaborators benefit from the latest advancements in AI, deep learning, and predictive analytics, driving meaningful impact in their operations.

As a (Senior) Data Scientist/Engineer, your task is to develop and implement state-of-the-art systems and algorithms in the field of predictive analytics (condition monitoring, predictive maintenance, predictive quality, root cause analysis, process data). The subject matter extends across multiple industries and involves developing initial concepts, assessing feasibility, implementing solutions, and deploying them to our partners. You will lead multidisciplinary industrial and research projects, propose groundbreaking ideas, and contribute to business development and technology dissemination..

 

Your responsibilities

Your main responsibilities are :

• Algorithm Development: The primary focus will be on working with time series and structured (tabular) data. However, there might be projects that involve other types of data (e.g., images, text, spectroscopy data etc)
• Technical lead: Be responsible for all technical aspects of a project. Mentor other team members.
• Project Management: Manage industrial and innovation projects. Depending on your experience, this could include overseeing resources, setting objectives, addressing issues, and managing the budget, or specific parts of the project.
• Continuous Learning: Continuously monitor the state-of-the-art advancements in the field and ensure integration of the latest technologies into our projects.

 

Your profile
Know-how
• Master's or PhD degree in Computer Science, Neuroinformatics, Engineering, Robotics, or a related field with a focus on Artificial Intelligence and Deep Learning. Several years of industrial experience are preferred, but recent graduates with a relevant Master’s thesis are also encouraged to apply
• Minimal Requirements :
- Proven experience in Python.
- Proven experience with classical machine learning and deep learning (publications or relevant industrial experience).
- Digital Signal Processing
- Understanding of industrial machinery.

• Nice to have:
- Experience working with databases (e.g., SQL).
- Experience with high-performance computing enviroments
- Proven experience in integrating machine learning models into production systems or developing performance-critical applications.
- Experience in computer vision
- Research publications on LLMs (Large Language Models)

Interpersonal skills
• Structured and analytical problem solving, individuadal contributor
• Proactive, dedicated, resilient and innovation driven
• Fluency in English required, German highly beneficial

CSEM mission and values

Our mission is the development and transfer of innovative technologies to the Swiss industry. Our objective is to make an impact on our customers and on society at large in the fields of precision manufacturing, digital technologies and sustainable energy. Our strength is the excellence of our people, about 650 passionate specialists dedicated to innovation and technology transfer. We believe that strong values support the successful development of our organization as well as the harmonious and balanced development of all our employees.

We are

• A unique place between research and industry at the cutting edge of new technologies
• An innovative, non-profit, and employee-driven company
• A dynamic, multidisciplinary, and multicultural environment
• A solar team focused on enabling solutions to energy challenges for a sustainable world

Working@CSEM means

• being part of a passionate community
• incredible flexibility, attractive working conditions, and great opportunities of development
• benefit from a management style based on trust & feedback and that favors a work-life balance

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity.

We look forward to receiving your complete application file via (CV, cover letter, certificates & diplomas) our job page.

Preference will be given to professionals applying directly.