The NZZ is one of the largest private media companies in Switzerland. We focus on high-quality, independent journalism and represent liberal perspectives. Our products offer our readers daily information and inspiration. In addition to our two main publications, “Neue Zürcher Zeitung” and “NZZ am Sonntag”, our portfolio includes various other titles, event series, podcasts, and TV formats.
Data Science is central to our mission of making data-driven decisions and developing innovative, data-based products. As an experienced Data Generalist, you have a proven track record of achieving business impact and optimizations through the use of data mining and machine learning techniques and will support our team starting 1st September 2026 or by agreement, as
- Advising management and cross-functional stakeholders on the definition of ML roadmaps, feasibility analyses, and the translation of business goals into concrete data-driven initiatives.
- Conception, implementation, and continuous optimization of data-driven solutions to support target audience 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 design, supervision, and evaluation of complex A/B tests, optimization of paywall and registration processes, and preparation of meaningful dashboards for progress measurement.
- Establishing and promoting modern standards in code quality, versioning, reproducibility, and agile project methods (e.g., Kanban/Scrum) within the data landscape.
- Master's degree in Mathematics, Statistics, Computer Science, or another quantitative field
- At least 5-7 years of demonstrable 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) as well as 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 Google Cloud Platform (GCP), preferably Vertex AI, BigQuery, as well as modern CI/CD and orchestration tools
- Excellent programming skills in Python and SQL
- Experience with user journeys 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 collaborate effectively cross-functionally with technical and non-technical stakeholders
- An entrepreneurial mindset and a strong "can-do" attitude, characterized by high initiative and a pragmatic, solution-oriented approach
- In this role, you will have a key position within the Growth Tribe (Technology organizational unit) and actively support the squad and tribe leadership in developing the strategic innovation roadmap. You will independently maintain an overall technical overview of the projects and ensure the end-to-end quality and lifecycle management of our machine learning solutions and data products..
- Work Schedule: We support a healthy work-life balance with modern work models (flexible working hours within a 40-hour week (100%), partial work from home, birthday off, 5 weeks of vacation with the option to purchase additional vacation days, etc.).
- Premium 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 shops and restaurants.
Are you interested? Then we look forward to receiving your online application.
Isabelle Liechti, HR Business Partner
+41 44 258 17 09
For this position, we admit only candidates who apply directly to us. Therefore applications from HR service providers will not be considered in the recruiting process. Thank you for your understanding.
