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Senior Data Scientist C5I

RUAG AG Thun

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Job description

Join RUAG and shape scalable data architectures for complex cases. Enjoy a collaborative environment with great benefits. Tasks Design and implement scalable data architectures and models. Develop and operate data pipelines for structured and unstructured data. Apply AI and machine learning methods for data analysis and solutions. Skills Degree in Data Science, Computer Science, or equivalent experience. Strong knowledge of relational databases and data engineering. Fluent in German, with good English skills (B2 level). This job ad was AI-translated from German. See original About the job What you can achieve Design and implementation of scalable data architectures and data models for complex use cases Development, further development and operation of data pipelines for structured and unstructured data Development of suitable solutions for data storage, data integration as well as batch and streaming processing Creation of semantic data models as well as development and use of ontologies and knowledge graphs Application of AI and machine learning methods for data analysis and development of data-driven solutions Integration of data and ML solutions into existing software and system landscapes via APIs and services Collaboration in the areas of data governance, data lifecycle management and auditing Management of security, access and authorisation concepts for data, platforms and data science environments What you bring with you Completed training in data science, computer science or a comparable field; alternatively career changer with comparable practical experience Several years of experience in building and implementing complex data-driven solutions Sound knowledge of relational databases, object stores and vector databases Very good knowledge in data engineering, especially in data modelling, data pipelines, storage technologies and streaming Solid understanding of Kubernetes-based environments and enterprise storage, especially NetApp Independent, analytical and solution-oriented working style Fluent German skills; English skills (level B2) advantageous Military career as senior non-commissioned officer or officer advantageous Salary and benefits About 3000 employees of RUAG and RUAG Real Estate make a significant contribution to the security of Switzerland every day. They ensure that the Swiss Army as well as other operational and security organisations can always fully perform their tasks. Completed training in data science, computer science or a comparable field; alternatively career changer with comparable practical experience Several years of experience in building and implementing complex data-driven solutions Sound knowledge of relational databases, object stores and vector databases Very good knowledge in data engineering, especially in data modelling, data pipelines, storage technologies and streaming Solid understanding of Kubernetes-based environments and enterprise storage, especially NetApp Independent, analytical and solution-oriented working style Fluent German skills; English skills (level B2) advantageous Military career as senior non-commissioned officer or officer advantageous Design and implementation of scalable data architectures and data models for complex use cases Development, further development and operation of data pipelines for structured and unstructured data Development of suitable solutions for data storage, data integration as well as batch and streaming processing Creation of semantic data models as well as development and use of ontologies and knowledge graphs Application of AI and machine learning methods for data analysis and development of data-driven solutions Integration of data and ML solutions into existing software and system landscapes via APIs and services Collaboration in the areas of data governance, data lifecycle management and auditing Management of security, access and authorisation concepts for data, platforms and data science environments

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Job aggregated from a public Swiss source (jobup_ch). ninjob is not the employer. ninjob reference #547655.