Your tasks

• Advising executives and cross-functional stakeholders on defining ML roadmaps, feasibility analyses, and translating business goals into concrete data-driven initiatives.
• Conception, implementation and continuous optimization of data-driven solutions to support target group segmentation, the commercial funnel and the user journey.
• Building, maintaining and optimizing stable data pipelines and high-performance data models using modern tools
• End-to-end responsibility for machine learning models (predictive & prescriptive) – from exploratory data analysis and prototyping to deployment, monitoring and CI/CD (e.g. via GCP Vertex AI)
• Experimental planning, support and evaluation of complex A/B tests, optimization of paywall and registration processes, and preparation of meaningful dashboards for progress measurement.
• Establishment and promotion of modern standards in the areas of code quality, versioning, reproducibility and agile project methods (e.g. Kanban/Scrum) within the data scenario.

Your profile

• Master's degree in mathematics, statistics, computer science or another quantitative field
• At least 5-7 years of verifiable professional experience in the data field, as well as sound knowledge in all three core areas of the data landscape:
• • Data Science: Machine Learning (Predictive & Prescriptive) and sound knowledge of statistics
  • Data Engineering: Data modeling, building data pipelines, and practical experience with modern transformation tools.
  • Data Analytics: KPI definition, data visualization and dashboard development
• Excellent understanding of experimental design, A/B testing, RCTs (Randomized Controlled Trials) and data-driven optimization of commercial funnels and user journeys.
• Practical experience with the Google Cloud Platform (GCP), preferably Vertex AI, BigQuery, and modern CI/CD and orchestration tools.
• Excellent programming skills in Python and SQL
• Experience with user journey and commercial funnels; experience with paywall, registration, and subscription models is highly welcome.
• Good communication skills in English and German (at least level B) and the ability to work effectively across functions with technical and non-technical stakeholders.
• Entrepreneurial mindset and a pronounced "can-do" mentality, characterized by high initiative and a pragmatic, solution-oriented approach to work.

our range

• In this role, you will be a key liaison within the Growth Tribe (Technology organizational unit) and actively support squad and tribe leadership in developing the strategic innovation roadmap. You will independently maintain a comprehensive technical overview of the projects and ensure the end-to-end quality and lifecycle management of our machine learning solutions and data products.
• Working time arrangements: We support the reconciliation of work and private life with modern working models (flexible working hours with a 40-hour week (100%), partial work from home, time off on birthday, 5 weeks of vacation with the option to purchase additional vacation days, etc.).
• Great working environment: Our office is centrally located «at Bellevue» in the heart of Zurich – overlooking the opera house and the lake and within walking distance of various restaurants and shopping facilities.

Your workplace