Data Scientist - Recommender Systems (f/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 every day. In addition to our two flagships «Neue Zürcher Zeitung» and «NZZ am Sonntag», various other titles, event series, podcasts and TV formats are part of the portfolio.

Data Scientist - Recommender Systems (f/m) 80-100%

We are looking for a committed and curious personality for our cross-functional editorial systems team. In this role, you are responsible for content personalization – from the technical infrastructure to intelligent recommendation systems. In this way, you help our readers and subscribers to discover exactly the stories that are relevant to them every day.

Your tasks

• Further development, improvement and operation of the NZZ content recommendation systems – from prototyping to productive use on Google Cloud / Vertex AI
• Responsibility and continuous optimization of ML pipelines for real-time and batch recommendation applications (e.g., article recommendations, personalized newsletters, churn prediction)
• Implementation of MLOps best practices: versioning of data, models and code; CI/CD; automated monitoring of model performance and data drift
• Planning and evaluation of A/B tests as well as derivation of concrete product improvements in close cooperation with product, marketing and editorial
• Conducting exploratory data analyses and comprehensible preparation of the results for technical and non-technical stakeholders (especially editorial)
• Observation of new methods, tools and research results in the field of Recommender Systems and NLP and contribution of pragmatic ideas for their application

Your profile

• Completed Master's degree in a quantitative subject (mathematics, computer science, statistics, engineering or similar)
• 2–4 years of professional experience in Data Science or ML Engineering, ideally with a focus on recommendation or ranking systems
• Sound Python knowledge and practical experience with ML libraries such as scikit-learn, TensorFlow or PyTorch; knowledge of pandas and SQL
• Practical experience with Google Cloud Platform – especially Vertex AI (training, Model Registry, online/batch prediction) is a clear advantage
• Experience with MLOps tooling (experiment tracking, model monitoring, CI/CD pipelines) and big data frameworks (e.g., Apache Spark, BigQuery or Snowflake)
• Good data engineering experience is an advantage (Airflow, Cloud Compose, dbt, etc.)
• Good English and very good German skills; ability to communicate data-based insights understandably
• Curious, pragmatic and team-oriented personality with pleasure in solving problems from beginning to end

Our offer

• Meaningful and demanding work: You directly shape the content experience of one of the most renowned media brands in the German-speaking area
• Modern ML stack: Vertex AI, BigQuery, Snowflake and an engineering culture that lives experiments and continuous improvement
• Fantastic working environment: our offices are centrally located at Bellevue in the heart of Zürich – with a view of the Opera House and the lake
• Flexible working hours and home office are an integral part of our corporate culture
• Diverse internal and external training opportunities

Isabelle Liechti, HR Business Partner
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