6 data scientist jobs found in Zürich

Note: By applying to this position you will have an opportunity to share your preferred working location from the following:   Mountain View, CA, USA; New York, NY, USA; Zürich, Switzerland . Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. Preferred qualifications: Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence. About the job Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global...

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...

Locations: Zurich, London Technology In short As a Staff Data Scientist in Supply Chain, you will play a pivotal role in shaping the future of On’s supply chain. You are a technical leader within our data science team, responsible for designing, developing, and deploying cutting-edge optimization solutions and advanced forecasting models. Your work will have a topline impact on our ability to optimize inventory, improve planning accuracy, and make data-driven decisions at a global scale. You will tackle our most complex and ambiguous challenges in our supply chain. You will not only build and implement models but also provide strategic guidance, mentor fellow data scientists, and drive the technical roadmap for forecasting at On. Your Mission Position data science to drive topline impact on the supply chain, reducing stockouts and ensuring orders are met in full, through evaluating the space and providing clarity on...

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,...

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. Do you aspire to be part of a high performing Analytics and Transformation team within a global Compliance organisation at the forefront of the wealth management industry? In this diverse role you will implement new technologies, manage change initiatives, develop predictive models, and perform financial and economic analysis to increase the efficiency and effectiveness of risk management. Working alongside Risk, Compliance, Analytics and Legal SMEs in highly skilled, fast-paced teams you will drive business value through collaboratively solving complex analytical problems. YOUR CHALLENGE Lead and support data analytics and business intelligence initiatives to success, with focus on Non-Financial Risk (e.g., Anti-Money Laundering (AML),...

Swiss Federal Institute for Forest, Snow and Landscape Research WSL The Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), with around 600 employees, is part of the ETH Domain. It focuses on the sustainable use and protection of the environment and on the responsible management of natural hazards. The Forest Resources and Forest Management research unit records and analyzes changes in the landscape and forest. In the   Forest-LENS project,   we are investigating drought symptoms in beech stands. This is based on an existing Sentinel-2 and machine learning-based processing pipeline for recording such symptoms, which is being expanded spatially and methodologically. A particular focus is on the influence of forest structure on the drought resilience of beech trees. To this end, we combine satellite-based drought indicators with forest structure information derived from LiDAR data, as well as other environmental and site data. The position is...