About Mettler Toledo METTLER TOLEDO is a leading global supplier of precision instruments and services. We are recognized as an innovation leader and our solutions are critical in key R&D, quality control, and manufacturing processes for customers in a wide range of industries including life sciences, food, and chemicals. We operate throughout the world with a culture shaped by innovation and international flair. Our Opening and Your Responsibilities You will be part of an agile and dynamic organization that focuses on providing reporting services and analytical insights to optimize marketing and business performance. To enforce our team at our headquarter in Greifensee we are looking for a Junior Data Analyst Reporting & Analytics 60-80% (f/m/d) In this role, your responsibilities would include You will support data analysis and key findings for team projects and programs; analyze wide sets of data around digital marketing programs and processes and you will...

Übernehmen Sie eine zentrale Rolle für unsere Transformation hin zu einer datenzentrischen Organisation und zum "Digital Hospital" der Zukunft. Bringen Sie ihre Begeisterung, Fähigkeiten und Erfahrungen ein, und gestalten Sie so die unternehmensweite Nutzung unserer Daten am USZ.

#Engineering #DataScience #Development Our customer, a  pharmaceutical company based in Basel , needs reinforcement. For a  temporary employment (20.12.2021 until 31.12.2022, with option for extension),  we are looking for a Senior Expert Data Science (m/f/d), 100% (temporary) Jetzt bewerben Major accountabilities: Development of methods for the large scale production of drug substance with tailor-made solid properties Application of in-house and commercial numerical tools to the Drug Substance process development Assistance for lab-phase experiments planning and transfer of process to commercial equipment Development and deployment of numerical tools based on the latest trends in literature Delivery of high quality data within defined timelines and aligned to current industry expectations Transfer of knowledge and presentation of results to the crystallization experts and chemical engineers Scientific support of external...

Roivant is a global biopharma company, headquartered in New York, that aims to improve health by rapidly delivering innovative medicines and technologies to patients. We do this by building Vants – nimble, entrepreneurial biotech and healthcare technology companies with a unique approach to sourcing talent, aligning incentives, and deploying technology. At Roivant, we will give you the resources and freedom to tackle some of the most important and challenging problems in healthcare. For our Swiss office in Basel, we are looking for a Machine Learning Research Associate (w/m/d) Job summary: Work with a multi-disciplinary team (chemists, biologists, biophysicists) to discover novel medicines for challenging disease targets Participate in drug design meetings, bringing specific design ideas and data to influence decisions Build state of the art machine learning infrastructure and workflows for molecular design Apply machine learning techniques to...

At Swarovski, where innovation meets inspiration, our people desire to explore, experience, and create. We are looking for a Data Scientist where you will get a chance to work in a rewarding role within a diverse team that is pushing boundaries. Be part of a truly iconic global brand, learn and grow with us. We’re bold and inventive, revealing astonishing things like no one else can. A world of wonder awaits you. About the job The Data Scientist is responsible for leveraging internal and external data by applying data science (data mining, statistics, artificial intelligence) to discover insights, generate predictions and optimize processes. Your tasks among others will be: Design and develop Advanced Analytics assets by translating business questions and requirements into actionable insights Partnering with Sales and Marketing to align with market state-of-the-art solutions and identify Advanced Analytics opportunities to be embedded the existing...

At Swarovski, where innovation meets inspiration, our people desire to explore, experience, and create. We are looking for a Data Engineer Data Warehouse where you will get a chance to work in a rewarding role within a diverse team that is pushing boundaries. Be part of a truly iconic global brand, learn and grow with us. We’re bold and inventive, revealing astonishing things like no one else can. A world of wonder awaits you. About the job The Data Engineer Data Warehouse is responsible for the maintenance and the improvement of all the data flows from the source to the target in order to define, create and build analytics products on the Data Warehouse platform(s). The Data Engineer Data Warehouse additionally analyzes complex data elements and systems, data flows, dependencies, and relationships in order to contribute to conceptual physical and logical data models. Your tasks among others will be: Managing end to end data pipelines to source and...

My tasks Analysis of source systems, development and maintenance of EDWH applications based on technical and operational requirements as well as ensuring implementation & nbsp; Further development of data marts, based on the EDWH (based on Oracle PL / SQL) Further development of test automation in the BI environment - further development of CICD in the BI environment Creation of the ETL design for a scalable data warehouse Ensuring operation in the team in compliance with SLAs (DevOps) Advice and support for customers in the analysis, conception and implementation of performance optimization Analyze, design, develop, test and operate modern data integration solutions Development of data warehousing / data modeling and PL / SQL paired with a background in the development of data pipelines My qualifications Experience with performance optimization in DWH environment & nbsp; Experience in reporting (preferably SAP BO) & nbsp;...

Workload selectable 50-100% Winterthur (smart working) As Risk Manager at AXA Switzerland, we ensure the sustainability of our business by assessing and managing the associated risks. We cover the entire spectrum of the risk landscape: financial risks, underwriting risks in the areas of property insurance and provision, operational risks as well as tasks in the area of ​​IT and physical security. We have set ourselves the goal of remaining pioneers in the further development of our functions and invest in state-of-the-art processes, skills, tools and methods. Your contribution In a multi-year project, we will document the data flows relevant to risk management (data lineage) and optimize them if necessary You are part of a specially built team that takes responsibility for the timely implementation of the project and defines the local design of the requirements To do this, you will analyze and understand the data flows within AXA Switzerland - from...

Autonomously contributes to analyses addressing specific client concerns. Works cross team to provide a professional, clear response on all client queries. Interacts with the stakeholders and with the clients providing technical and statistical insights into the data. Acts as liaison between all internal teams and the clients to make sure all methodological requirements are addressed. Job Responsibilities Works with cross-functional teams to provide a professional, clear response on all client queries. Plays a key role in analytical projects from beginning to end; including developing analytical plans, running analyses, and summarizing/presenting results to the stakeholders. Compiling and delivering documentation material for methodology questions and/or frequently asked questions; supporting basic client service duties as needed; participating in team projects and staff meetings. Uses statistical methodologies to analyze the data. Proactively gather...

Project  Description Strategic Data Platform is the major Big Data platform that provides critical functionality for investment bank data analytics-driven compliance and risk management functions. The main objective of the project is to support infrastructure capabilities for the Data Platform, including CI/CD processes, security matters and programming support. The role is in the middle of developers and infrastructure responsibilities - you will be able to apply your python coding skills for taking care of data transformation pipelines, as well as accelerating bank's digital transformation with configuration setup of Cloudera clusters. Additionally you'll have opportunity to dig into more detailed infrastructure levels and explore security concepts used underneath. Responsibilities Building and improving CI / CD environment across the toolset Develop ETL processes to integrate with internal back-end systems Linux / UNIX configuration for DevOps...