pIn 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. /ph3What you move /h3pDesigning, building and running ML workflows to build and improve our product catalog /ppBuilding evaluation sets and validation logic that catch quality problems before customers do /ppYou stay up-to-date with emerging technologies and industry trends (e.g. latest LLM developments) to continuously enhance our solution /ppImproving the tooling our team relies on, so the next workflow is quicker to build than the last /ph3What you will bring /h3h3Several years of professional experience /h3pIn data science or machine learning /ph3Completed degree (university / university of applied science / higher technical college) /h3pIn a data-focused field /ph3German (Advantageous) /h3pMandatory /ppStrong Python, plus SQL you are comfortable writing against large tables /ppMandatory /ppHands-on experience with an orchestrator such as Airflow or Dagster /ppMandatory /ppPractical experience running ML Models over large datasets, including prompt design, cost control and validation of the results /ppMandatory /ppExperience with BigQuery or a comparable cloud data warehouse, ideally on GCP /ppMandatory /ppA willingness to challenge «how things have always been done» and propose more efficient, automated or effective solutions /ppMandatory /ppUsing creativity and initiative to solve problems and achieve goals /ppMandatory /ppThe capacity to adapt to ongoing changes in the work environment /ph3The benefits we offer /h3ullih3Flexible workplace / working from home /h3 /lilih3Maternity/paternity leave /h3 /lilih3Employee offers /h3 /lilih3Holidays /h3 /lilih3Individual continuing training /h3 /lilih3Initial and continuing vocation training /h3 /lilih3Personal responsibility freedom /h3 /lilih3Room to manoeuvre and decision-making /h3 /lilih3Values, not empty words /h3pCooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice and preach. /p /lilih3Courageous thinking /h3pWe encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas. /p /lilih3Uncomplicated approach /h3pSimplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes. /p /lilih3Flexibility and freedom (Office Jobs) /h3pWe offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload. /p /lilih3Rapid growth /h3pWith 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. /pp25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits. /p /li /ul #J-18808-Ljbffr
Data Scientist - Product Data (f/m/d) ‧ 80 – 100% 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.
