Data Scientist - Marketing (f/m/d)

pAs the top Swiss e-commerce platform, with a crew of over 4’000 across Switzerland, Germany, and Serbia, Galaxus is poised to move into new markets. Our driving force is our determination to keep challenging the status quo. That’s why we’re on the lookout for characters who’re passionate about making genuine improvements. We’ll give you the freedom and trust to make an impact, to grow with us and to be yourself. bAct galactic. Be you. /b /p pAs a Data Scientist, 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 advanced data analysis as the equally weighted core. Your work shapes how customers discover our products on Google Shopping, price-comparison sites, and beyond.

You'll be part of a tight-knit crew that supports each other through calm and rough seas, with an open ear and a good sense of humour. /p h3Your responsibilities /h3 ul libTurn business challenges into data-driven insight /b 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 /li libBuild robust machine-learning solutions /b in close collaboration with the product team and run them in production on our platform, raising the performance of our Marketing channels /li libOwn your data products end to end, /b from spotting the opportunity through prototype and build to running them in operation.

You care about the whole Marketing product, not just your model /li libValidate improvements /b 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) /li libWork with web tracking and attribution data /b to build features, close measurement gaps, and sharpen our understanding of the customer journey /li libShape our data-science practice /b together with the Senior Data Scientist and the wider Data Science Guild /li /ul h3Your skills /h3 ul liHigher education degree (MSc) in Data Science, Computer Science, Statistics, or a related field, plus relevant professional experience /li liStrong Python skills and experience with machine-learning libraries such as PyTorch, scikit-learn, and XGBoost /li liSolid 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 /li liExperience deploying and operating ML models in production with tools such as Docker, Kubernetes, Airflow, or Dagster, including monitoring and alerting /li liExperience 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 /li liStrong 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 /li liMarketing know-how and hands-on web tracking experience (Google Tag Manager) are a strong plus /li liA willingness to challenge «how things have always been done» and propose more efficient, automated or effective solutions /li liMaintaining resilience and agility while adjusting strategies as needed /li liFluent English and good German (at least B2, or actively learning): day-to-day, the team mostly communicates in German /li /ul h3Why start with us? /h3 ul libValues, not empty words: /b Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice and preach. /li libCourageous thinking: /b We encourage everyone to think on their feet, and love it when they come up with bold or edgy

ideas. /li libUncomplicated approach: /b Simplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes. /li libFlexibility and freedom: /b We offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload. /li libRapid growth: /b With us, growth is a continuous journey.

We also support you with 2’000 EDU Points per year for your professional development, so there’s no risk of you getting stuck in a rut. /li libModern /b: With us you can work with the latest technologies every day, see our Tech-Radar. /li libMore than "just" work /b: Take part in our various employee events such as Hackathons, hiking, skiing, Böötlen on the Limmat, LAN Parties or Friday Night Drinks and, if you're interested, contribute to our Techblog. /li libMore benefits: /b 25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits. /li /ul pbDiversity is our culture. /b /p pTo build the best team, we want to draw from the full spectrum of talent out there.

This means people from all walks of life have the same opportunities with us, regardless of their ethnicity, religion, disability status, gender identity, sexual orientation or age. We believe true inclusion means everyone is welcome and each contribution is valuable. /p