4 data warehouse jobs found in Zürich

Do you love working with large datasets? Are you a team player who enjoys sharing your knowledge and learning new things? Are you interested in fraud prevention and credit risk? Would you like to use structured thinking and creative ideas to further develop our models and applications? Then we are looking for you to join our Risk Analytics Team immediately or by arrangement, based in Zurich. Tasks You will develop and implement machine learning models in the areas of credit risk and fraud prevention. You advise and support the specialist departments through reports, analyses and models. You contribute your expertise and analytical thinking skills to interdisciplinary working groups and projects. You will participate in the further development of the in-house analytics tools and the expansion of the tech stack. Profile Completed university degree with a quantitative focus at least one year of professional experience Excellent...

Location: Zurich Technology In short As a Lead Data Scientist specialized in Supply Chain Forecasting, your mission is to revolutionize how we move products globally by building the next generation of predictive systems. You will bridge the gap between bleeding-edge research—such as Time Series Foundation Models—and production-grade supply chain solutions. This is a role for an experienced forecasting expert who has experience in building forecasts that combine multiple approaches to drive metrics such as Forecast Accuracy, stockout % and On-Time-In-Full (OTIF) metrics. Your Mission Drive impact on Forecast accuracy: use a range of modelling approaches, such as advanced techniques such as Time Series Foundation Models (e.g., Chronos, TimesFM) and multi-level forecasting frameworks, to drive improvements in forecasting accuracy. Build Scalable Solutions: Design and deploy end-to-end machine learning pipelines...

We're looking for a   Dynatrace System Engineer – Big Data   to join our team in Zürich, Switzerland, in a hybrid working mode. In this role, you will design and implement observability solutions that ensure performance, availability, and reliability of large-scale Big Data platforms. Your expertise will help drive operational excellence, proactively prevent incidents, and optimize system resilience. Responsibilities Design, implement, and maintain end-to-end monitoring and observability solutions using Dynatrace Monitor and optimize performance, reliability, and availability across Big Data environments including Trino, Kubernetes, and Kafka Develop dashboards, alerts, and actionable insights for operational efficiency Apply proactive monitoring strategies to detect risks early and prevent incidents Perform performance analysis, capacity planning, and root cause investigations Collaborate with platform, data, and operations teams to strengthen stability and...

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? The Industry Solutions Engineering (ISE) team is a global engineering organization that works side-by-side with customers, on a per-project basis, to collaboratively innovate custom solutions to solve their challenging business problems; from inception to production. We develop broadly applicable, high-impact solution patterns and open-source software assets in collaboration with Microsoft product teams, partners, and open-source communities. We are hiring a Data Scientist to   build and deploy AI systems at scale as part of a cross-functional team —working on projects spanning computer vision, NLP,...