Data Generalist / Senior Data Scientist-Engineer 80 - 100%

Data Generalist / Senior Data Scientist-Engineer (w/m) 80 - 100% NZZ is one of the most significant private media companies in Switzerland. We focus on high-quality, independent journalism and represent a liberal worldview. With our products, we offer our users orientation and inspiration daily. In addition to the two flagships «Neue Zeitung» and «NZZ am Sonntag», various other titles, event series, podcasts and TV formats belong to the portfolio. Data Generalist / Senior Data Scientist-Engineer (w/m) 80 - 100% Data Science is of central importance to our mission to make data-driven decisions and develop innovative, data-based products. As an experienced Data Generalist, you have a successful track record in achieving business impact and optimizations through the use of data mining and machine learning techniques and will support our team as of 1. September 2026 or by arrangement as Your Tasks Advising executives and cross-functional stakeholders in 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 group segmentation, the commercial funnel and the user journey Construction, maintenance and optimization of stable data pipelines as well as performant 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) Design of experiments, monitoring and evaluation of complex A/B tests, optimization of paywall and registration processes as well as 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 of study At least 5 - 7 years of demonstrable professional experience in the data field as well as profound knowledge in all three core areas of the data landscape: Data Science: Machine Learning (predictive & prescriptive) as well as profound statistical knowledge Data Engineering: Data modeling, construction of 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 the data-driven optimization of commercial funnels and user journeys Practical experience with the Google Cloud Platform (GCP), preferably Vertex AI, BigQuery as well as modern CI/CD and orchestration tools Excellent programming skills in [missing language] and SQL Experience with the user journey and commercial funnels (Commercial Funnels); experience with paywall, registration and subscription models is very welcome Good communication skills in English and German (at least level B) and the ability for cross-functional, effective collaboration with technical and non-technical stakeholders Entrepreneurial mindset and a pronounced "Can-Do" mentality, characterized by high initiative and a pragmatic, solution-oriented way of working Our Offer In this function, you are an important interface in the Tribe Growth (technology organizational unit) and actively support the squad and tribe leadership in the development of the strategic innovation roadmap. You independently maintain the overall technical overview of the projects and ensure the end-to-end quality as well as the lifecycle management of our machine learning solutions and data products. Working time arrangements: We support the compatibility of work and private life with modern working models (flexible working hours with a 40-hour week (100%), partial work from home, on your birthday, 5 weeks vacation with the option to purchase additional vacation, etc. Great working environment: Our office is centrally located "at Bellevue" in the heart of Zürich – with a view of the opera house and the lake and within walking distance of various restaurants and shopping facilities. , HR Business Partner jpid658d841jm jit0627jm jiy26jm