pYou 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. /ppWe welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned. /ph3What you move /h3pTurn 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 /ppBuild 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 /ppOwn 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 /ppValidate 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) /ppWork with web tracking and attribution data to build features, close measurement gaps, and sharpen our understanding of the customer journey /ppShape our data-science practice together with the Senior Data Scientist and the wider Data Science Guild /ph3What you will bring /h3h3Atleast 2+ Years /h3pIn Data Science (if specifically in the field of marketing, 1+ years) /ph3Completed degree (university / university of applied science / higher technical college) /h3pIn Data Science, Computer Science, Statistics, or a related field /ph3German (Fluent) /h3pMandatory /ppStrong Python skills and experience with machine-learning libraries such as PyTorch, scikit-learn, and XGBoost /ppMandatory /ppSolid 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 /ppMandatory /ppExperience deploying and operating ML models in production with tools such as Docker, Kubernetes, Airflow, or Dagster, including monitoring and alerting /ppMandatory /ppExperience 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 /ppMandatory /ppStrong 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 /ppAdvantageous /ppMarketing know-how and hands-on web tracking experience (Google Tag Manager) are a strong plus /ppMandatory /ppA willingness to challenge «how things have always been done» and propose more efficient, automated or effective solutions /ppMandatory /ppMaintaining resilience and agility while adjusting strategies as needed /ph3The benefits we offer /h3h3Flexible workplace / working from home /h3h3Maternity/paternity leave /h3h3Employee offers /h3h3Holidays /h3h3Individual continuing training /h3h3Initial and continuing vocation training /h3h3Personal responsibility freedom /h3h3Room to manoeuvre and decision-making /h3h3Values, not empty words /h3pCooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice and preach. /ph3Courageous thinking /h3pWe encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas. /ph3Uncomplicated approach /h3pSimplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes. /ph3Flexibility 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. /ph3Rapid 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. /ph3Application and contact details /h3pPeople Attraction Active Sourcing Specialist /ph3Information for recruitment agencies /h3pOnly direct applications will be considered for this position. /p #J-18808-Ljbffr
Data Scientist - Marketing (f/m/d) Arbeitgeber: Migros
Als Arbeitgeber in Zürich West bieten wir dir die Möglichkeit, in einem modernen und technisch anspruchsvollen Umfeld zu arbeiten. Unser engagiertes Team fördert eine Kultur der Selbstständigkeit und des Wachstums, während wir dir attraktive Sozialleistungen, berufliche Vorsorge und zahlreiche Vergünstigungen bieten, die deine Work-Life-Balance unterstützen. Werde Teil eines dynamischen Unternehmens, das Wert auf deine Entwicklung legt und dir spannende Herausforderungen in der Instandhaltung bietet.