Data Solutions Architect

Are you an experienced data professional seeking an exciting opportunity as a Solutions Architect? This role empowers you to shape and improve the data architecture within a new data platform. With your expertise in data modeling, data architecture, and data engineering, as well as your strong technical proficiency in Azure, MSSQL stack, Python, R, and Tableau. Then this could be your chance.

As a Solutions Architect, you will lead the definition, realisation, and communication of the new data architecture by collaborating with development teams, defining non-functional requirements, and driving technical solution development. Operating within an agile setup following the SAFe framework, you will align with the company's practices and engage with stakeholders to comprehend business needs, document requirements, and ensure the delivery of high-quality solutions in coordination with the IT line organisation.

Working alongside a team of skilled data professionals, this role requires not only exceptional technical abilities but also strong interpersonal, communication, and stakeholder management skills. Fluency in English and proficiency in either French or German are essential for effective communication in the role. This is an exciting opportunity to make a significant impact on the data landscape.

Data Scientist

Are you an experienced Data Scientist with at least four years of experience as well as a strong educational background in mathematics, computer science, economics, or statistics? Along with demonstrated expertise in machine and deep learning, and proficiency in training, evaluating, and deploying neural networks across. Additionally, a solid background in NLP, LLM, and SQL databases, and experience in large vision models and graph neural networks. Then this could be your chance!

You will design and develop complete end-to-end machine learning pipelines for analytics use cases, utilizing large language models. Conduct feasibility studies to create, analyze, and implement innovative algorithms. Collaborate with other machine learning professionals and engage with stakeholders across various divisions.

You will be joining a professional and dynamic work environment where you will have the chance to further develop your skills. The role requires a proficient level of spoken and written English skills with the team members and stakeholders.