Alle Stellen

You join our Analytics & Data Science team for Marketing, working alongside a second Data Scientist, Data Analysts, the Marketing Tech team and the Marketing business teams. You step in wherever the team needs you, with machine learning and data analysis as the equally weighted core. Your work shapes how customers discover our products on Google Shopping, price-comparison sites, and beyond.

Tasks

  • Turn business challenges into data-driven insight by understanding the real business question, digging into performance data to find the root cause, and translating it into clear, actionable recommendations for technical and non-technical audiences.
  • Build robust machine-learning solutions in close collaboration with the product team and run them in production on our platform, raising the performance of our Marketing channels.
  • Own your data products end to end, from spotting the opportunity through prototype and build to running them in operation. You care about the whole Marketing product, not just your model.
  • Validate improvements by defining success metrics and analytical frameworks, and running experiments with the product team and Marketing business teams (e.g. A/B tests, causal inference, incrementality testing).
  • Work with web tracking and attribution data to build features, close measurement gaps, and sharpen our understanding of the customer journey.
  • Shape our data-science practice together with the Senior Data Scientist and the wider Data Science Guild.

Requirements

  • Completed degree (university / university of applied science / higher technical college) in Data Science, Computer Science, Statistics, or a related field.
  • At least 2+ years in Data Science (if specifically in the field of marketing, 1+ years).
  • Strong Python skills and experience with machine-learning libraries such as PyTorch, scikit-learn, and XGBoost.
  • Solid grounding in statistics and experimental design (e.g. A/B tests, causal inference): you are equally adept at building a model and carrying out an advanced ad-hoc analysis.
  • Experience deploying and operating ML models in production with tools such as Docker, Kubernetes, Airflow, or Dagster, including monitoring and alerting.
  • Experience with large datasets and advanced SQL (e.g. BigQuery), and comfortable building and owning data pipelines with a transformation framework (e.g. Dataform, dbt) that feed reliable feature stores and data products.
  • Strong communication skills and a proactive, self-directed way of working. You thrive in a team, working closely with product and cross-functional colleagues, and convey your results clearly and concisely to different stakeholder groups.
  • Marketing know-how and hands-on web tracking experience (Google Tag Manager) are a strong plus.
  • A willingness to challenge how things have always been done and propose more efficient, automated or effective solutions.
  • Maintaining resilience and agility while adjusting strategies as needed.
  • German, English.

Benefits

  • Flexible working hours.
  • Flexible workplace / working from home.
  • Maternity/paternity leave.
  • Mobile phone subscription.
  • Employee offers.
  • Holidays.
  • Individual continuing training.
  • Initial and continuing vocation training.
  • Personal responsibility & freedom.
  • Room to manoeuvre and decision-making.
  • Values: cooperative, innovative, piratesque, responsible, ambitious.
  • Courageous thinking is encouraged.
  • Uncomplicated approach with a focus on simplicity.
  • Working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload.
  • Rapid growth and support with EDU Points (CHF 2,000 for employees in Switzerland, EUR 1,600 for employees in Germany, and EUR 700 for Serbian employees) for professional development.
  • Switzerland: 25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits.
Bist du Teil dieses Unternehmens?

Dieses Unternehmensprofil wurde automatisch erstellt. Wenn du für Digitec Galaxus AG arbeitest, kannst du das Profil jetzt beanspruchen und verifizieren – kostenlos und in wenigen Minuten.

Verifizierte Profile erhalten ein Siegel und können ihre Seite, Stellen und Bewerbungen direkt verwalten.
Über uns
Digitec Galaxus AG betreibt die Online-Shops digitec und Galaxus. Galaxus ist als Online-Warenhaus auf ein breites Sortiment ausgerichtet, während digitec den Schwerpunkt auf IT, Telekommunikation und Unterhaltungselektronik legt. Neben dem Onlinehandel betreibt das Unternehmen eine Community mit redaktionellen Inhalten und Austausch zu Produkten und Anwendungen.
Das Team

You will work alongside a second Data Scientist, Data Analysts, the Marketing Tech team and the Marketing business teams, and collaborate with the Senior Data Scientist and the wider Data Science Guild.

Ähnliche Stellen