Galaxus Industry · Engineering Part-time

Data Scientist - Product Recommendations (w/m/d)

CHF 110'000 – 130'000 / year
ZÜRICH
MACHINE LEARNINGMLOPSPYTORCHTENSORFLOWSCIKIT-LEARN

Description

As a Data Scientist, you are part of the Analytics & Data Science team in the Online Shop Area and work closely with another data scientist, an analyst and the product team for product recommendations. Together, you will continuously and proactively develop the relevance of recommendations throughout the shop. You will work on a variety of problems in the area of recommendation, e.g. similar products, accessories, list rankings and product notifications. Your work has a direct impact on how customers discover products and interact with the shop.

Deine Aufgaben

  • Development of robust machine learning solutions in close cooperation with product teams, including implementation in production and operation on our platform
  • Increasing user interaction by optimizing existing and building new recommender systems for the content type products
  • Continuous improvement of the recommender systems through analysis of interaction data from millions of users and clear communication of the insights gained
  • Validation of improvements through definition of success criteria and analytical frameworks together with product and analytics teams
  • Development of machine learning strategies by aligning product goals with data science solutions in close cooperation with the product team

Deine Fähigkeiten

  • University degree in Data Science or a related field and at least 2 years of relevant professional experience, ideally with practical experience in recommender systems, search or information retrieval
  • Very good Python skills and experience with machine learning libraries such as PyTorch, TensorFlow and scikit-learn
  • Sound knowledge of statistics and experimentation, including definition of success criteria and analytical frameworks
  • Experience in handling large amounts of data, including advanced SQL knowledge and experience with database systems (e.g. BigQuery) for analyzing user interactions
  • Experience in the field of MLOps, especially in the deployment and operation of machine learning models in production, e.g. with orchestration tools like Airflow
  • Strong communication skills as well as a proactive, independent way of working for effective collaboration with product and cross-functional teams. In addition, you are able to communicate your results in an understandable and concise manner to various stakeholder groups
  • The willingness to question "how it has always been done" and to propose more efficient, automated or effective solutions
  • The ability to adapt to continuous changes in the working environment
  • Fluent German and good English skills

Warum startest du bei uns?

  • Werte statt Blabla: Kooperativ, innovativ, piratisch, eigenverantwortlich, ambitioniert – diese fünf Werte fordern wir alle und leben wir alle.
  • Mutig selbst denken: Wir ermutigen alle, selbst und aktiv mitzudenken. Und lieben es, wenn du noch dazu mutig, neu und anders denkst.
  • Unkompliziert: Wir vermeiden Unnötiges und fokussieren uns aufs Wichtige. Vom Meistern von Herausforderungen bis zum Feiern unserer Erfolge.
  • Flexibilität statt verbiegen: Neben Homeoffice Möglichkeiten ermöglichen wir dir bis zu 8 Wochen Workation. Zudem ist jede Position auch im 80%-Pensum möglich.
  • Schnelles Wachstum: Bei uns wächst und entwickelst du dich laufend. Und erhältst 2'000 EDU-Punkte pro Jahr für deine Weiterentwicklung, damit du nicht stehenbleibst.
  • Modern: Bei uns kannst du täglich mit neusten Technologien arbeiten, siehe unser Tech-Radar.
  • Mehr als "nur" Arbeit: Nimm an unseren diversen Mitarbeiterevents wie Hackathons, Wandern, Ski fahren, Böötlen auf der Limmat, Lan Parties oder Friday Night Drinks teil und bring dich bei Interesse in unserem Techblog ein.
  • Weitere Benefits: Profitiere von 25 Tagen Ferien, exklusiven Mitarbeiterpreisen im Shop, Handy-, Internet- und TV-Abos zum Firmentarif und weiteren Vorteilen.

Diversität ist unsere Kultur.

Workload: 80–100%