In the role as Data Scientist in our team Cyberdyne, you design, build and run the ML workflows behind our product data. If you have ever searched, filtered or compared a product on digitec or galaxus, several of our models helped assemble the data you were looking at. We build in Python on BigQuery and other GCP services, and we own our models from the first notebook to production.
What you move
Designing, building and running ML workflows to build and improve our product catalog
Building evaluation sets and validation logic that catch quality problems before customers do
You stay up-to-date with emerging technologies and industry trends (e.g. latest LLM developments) to continuously enhance our solution
Improving the tooling our team relies on, so the next workflow is quicker to build than the last
What you will bring
Several years of professional experience
In data science or machine learning
Completed degree (university / university of applied science / higher technical college)
In a data-focused field
German (Advantageous)
Mandatory
Strong Python, plus SQL you are comfortable writing against large tables
Mandatory
Hands-on experience with an orchestrator such as Airflow or Dagster
Mandatory
Practical experience running ML Models over large datasets, including prompt design, cost control and validation of the results
Mandatory
Experience with BigQuery or a comparable cloud data warehouse, ideally on GCP
Mandatory
A willingness to challenge «how things have always been done» and propose more efficient, automated or effective solutions
Mandatory
Using creativity and initiative to solve problems and achieve goals
Mandatory
The capacity to adapt to ongoing changes in the work environment
The benefits we offer
- Flexible workplace / working from home
- Maternity/paternity leave
- Employee offers
- Holidays
- Individual continuing training
- Initial and continuing vocation training
- Personal responsibility & freedom
- Room to manoeuvre and decision-making
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Values, not empty words
Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice and preach.
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Courageous thinking
We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas.
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Uncomplicated approach
Simplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes.
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Flexibility and freedom (Office Jobs)
We offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload.
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Rapid growth
With us, growth is a continuous journey. We also support you with EDU Points (CHF 2,000 for employees in Switzerland, EUR 1,600 for employees in Germany, and EUR 700 for our Serbian employees) for your professional development, so there’s no risk of you getting stuck in a rut.
25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits.
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Data Scientist - Product Data (f/m/d) ‧ 80 – 100% in Zürich Arbeitgeber: Migros Gruppe
Als Abteilungsleiter*in Non Food bei uns profitierst du von einem dynamischen Arbeitsumfeld, das dir nicht nur die Möglichkeit bietet, deine Führungskompetenzen zu entfalten, sondern auch eine Vielzahl an attraktiven Sozialleistungen und Entwicklungsmöglichkeiten. Unsere Unternehmenskultur fördert Teamarbeit und Kundenorientierung, während wir dir durch großzügige Weiterbildungsangebote und flexible Arbeitszeiten helfen, deine beruflichen Ziele zu erreichen. Zudem erwarten dich zahlreiche Vergünstigungen und ein starkes Engagement für die Work-Life-Balance, was uns zu einem hervorragenden Arbeitgeber in der Region macht.
