Data Scientist - Marketing (f/m/d) in Zürich

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.We 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.What you moveTurn 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 audiencesBuild 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 channelsOwn 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 modelValidate 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 journeyShape our data-science practice together with the Senior Data Scientist and the wider Data Science GuildWhat you will bringAtleast 2+ YearsIn Data Science (if specifically in the field of marketing, 1+ years)Completed degree (university / university of applied science / higher technical college)In Data Science, Computer Science, Statistics, or a related fieldGerman (Fluent)MandatoryStrong Python skills and experience with machine-learning libraries such as PyTorch, scikit-learn, and XGBoostMandatorySolid 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 analysisMandatoryExperience deploying and operating ML models in production with tools such as Docker, Kubernetes, Airflow, or Dagster, including monitoring and alertingMandatoryExperience 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 productsMandatoryStrong 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 groupsAdvantageousMarketing know-how and hands-on web tracking experience (Google Tag Manager) are a strong plusMandatoryA willingness to challenge «how things have always been done» and propose more efficient, automated or effective solutionsMandatoryMaintaining resilience and agility while adjusting strategies as neededThe benefits we offerFlexible workplace / working from homeMaternity/paternity leaveEmployee offersHolidaysIndividual continuing trainingInitial and continuing vocation trainingPersonal responsibility & freedomRoom to manoeuvre and decision-makingValues, not empty wordsCooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice and preach.Courageous thinkingWe encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas.Uncomplicated approachSimplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes.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.Rapid growthWith 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.Application and contact detailsPeople Attraction & Active Sourcing SpecialistInformation for recruitment agenciesOnly direct applications will be considered for this position. #J-18808-Ljbffr