5 data scientist jobs found in Zürich

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...

Published on 18/06/2026 CDI  /  SII Switzerland MISSION Develop & Scale Pipelines: You design and implement robust ETL/ELT pipelines to process large, complex volumes of data (Big Data) using both code-based and visual tools. Semantic Data Modeling: You translate complex business processes into logical data models and help build a centralized, cross-departmental enterprise data model. Data Quality & Lineage: You implement automated quality checks and monitor data flows from source to end product to guarantee seamless data lineage. Code & Transformation: You write clean, high-performance code in PySpark and SQL to clean, aggregate, and prepare data for downstream analysis. Cross-Functional Collaboration: You work closely with Data Scientists, Business Analysts, and business departments to quickly translate their requirements into production-ready data structures. PROFILE Initial practical experience in Data Engineering (as a...

Published on 18/06/2026 Permanent contract  /  SII Switzerland ASSIGNMENT Build Pipelines in Foundry: You develop and scale data pipelines (ETL/ELT) directly within Palantir Foundry (eg, via Code Repositories, Pipeline Builder) and integrate data from a wide variety of source systems. Data Modeling & Ontology: You help map our data into the Foundry Ontology, making complex business logic tangible and accessible for analysts and end-users. Data Quality & Lineage: You implement health checks, monitor data quality across the entire data lineage process, and ensure that pipelines run stably. Code & Transformation: You write clean, efficient code (primarily in PySpark and SQL) to clean and transform large volumes of data. Team Collaboration: You work closely with Data Scientists, Analysts, and business departments to translate their requirements into functioning data models within Foundry. PROFILE Initial professional experience in...

Location: Zurich Technology In short As the Engineering Manager of the Data Enablement team for FinOps (Finance and Operations) you will be responsible for driving the design of data models, bringing in new data sources and building data pipelines, while leveraging SQL to provide clean, tested, documented and well-defined data. You will act as a leader for data engineers, data analysts and data scientists by providing guidance on architectural and design decisions, while evangelizing and encouraging our best practices and governance policies. Lastly you will act as a point of contact for multiple business functions and collaborate with the stakeholders to create relevant data products to enhance data adoption at On and to increase trust. Your Mission Your primary objectives as an Data Enablement Engineering Manager are: Drive Strategic Alignment & Business Impact: Partner with cross-functional stakeholders to...

80% - 100% | Lucerne | Home office possible Society, business, and administration in Central Switzerland make their decisions based on data – LUSTAT provides this data. Your work will contribute to ensuring that data from diverse sources can be efficiently integrated, reliably processed, and made usable in a modern, code-based production environment. Your tasks In this key position, you will actively shape the connection between raw data, modern data science methods, and data-driven decision-making in politics, business, and society. You will systematize the entire data process, from automated data preparation and analytical processing to dynamic provision and seamless version control. In doing so, you will create the technological foundation upon which our data products are developed efficiently, transparently, and with the highest quality. You systematically build and develop the ETL process for external data and ensure stable and, where possible,...