I can make an important contribution here.
I’m proud to tell others that I work here.
I can take time off if I feel the need to.
90% of our employees agreed with these statements in the last employee survey.
Just the international working environment you’ve been looking for?
Then support our team of 300 employees at the Uster location as:
Senior Data Scientist
Your backpack
* 5+ years of experience as a Machine Learning engineer or data scientist with experience in bringing a product from development to industrialization phase
* Strong programming skills, especially in Python
* Solid understanding of statistical modeling, machine learning, and data analysis
* Excellent interpersonal and communication skills; a collaborative team player
* Master’s degree in Computer Science, Software Engineering, or a related field
Advantages:
* Experience with C#
* Familiarity with relational and non-relational databases
* PhD in Computer Science, Software Engineering, or a related field
Responsibilities include:
* Lead the design, development, and deployment of machine learning models
* Translate business problems into data-driven solutions
* Mentor junior data scientists and provide technical guidance
* Collaborate across teams to integrate AI capabilities into our products
* Communicate findings clearly to both technical and non-technical audiences
* Support pre-sales activities and present technical solutions to clients when needed
We offer:
* A perfect work-life balance through flexible working hours and home office
* Above-average social benefits and an excellent pension scheme
* Generous support for your further training and education
* Top floor recreation room with catering refrigerator
* Table tennis, an in-house bar (the ‘Cotton Club’), and fun team events
As the global leader in textile electronics, quality is our main focus. We believe in flat hierarchies, rely on independent teams, and foster a collegial tone. You’ll fit right into the Uster family if you like to take on responsibility and enjoy a vibrant international environment.
Your direct link: Daniel Brunner will gladly answer your questions at +41 43 366 38 20.
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