Head of AI & Data Science (m/f/d)

We are convinced that Data Science and AI can make a significant contribution to significantly improve patient care and thus the quality of life. At the same time, we are moving in a regulated market (MDR/ISO 13485) with diverse requirements that require sophisticated and innovative solutions. Consistent prioritization is important because there are diverse ideas and requirements.

experience in developing and implementing advanced machine learning and AI models, including natural language processing, computer vision and predictive modeling, track record for building meaningful architectures for proprietary data as a basis for successful AI and with regard to AI introductions with significant impact, bring sound knowledge of data analysis tools and software solutions (e.g. SQL, R, Python, Tableau, Power BI), Cloud technologies (e.g. AWS, Azure, Google Cloud) and modern data architectures (e.g. Data Lakes, Data Mesh) and processes would call your Home Turf. experience in the creation and optimization of customer scoring models, the personalization of marketing measures and the development of recommendation algorithms and data-driven decision-making models, have the ability to inspire teams, promote a culture of innovation, cooperation and excellence and are also familiar with the professional leadership of international teams, like to work in presence. Our corporate culture lives from personal exchange, so we offer a day of remote work. have at least 5 years of professional experience in the field of data science, data management and AI, as well as at least 3 years of relevant leadership experience and a completed study in computer science, statistics, mathematics, business informatics or a corresponding training with continuous and intensive training; bring fluent German and English knowledge into word and writing.

You bear the responsibility for everything relating to data: from the data base to the models to the effect in the company and beyond. Therefore, the development and implementation of a company-wide data & AI strategy is in close cooperation with the relevant stakeholders (e.g. marketing, content, sales, product development, operations). You identify innovation potentials, identify strategically meaningful use cases, focus on the needs of our customers and bring about measurable growth impulses and efficiency increases. Their claim is to establish AI applications and to promote and demand a culture of data-supported decision-making throughout the company. You control and accompany projects to build and scale Advanced Analytics and AI Capabilities incl. Predictive and Prescriptive Analytics as well as Generative AI (e.g. Agentic-RAG-based solutions). You identify and evaluate new technologies and methods for improving data analysis and work together with IT and the management on the strategic development and implementation of a scalable, secure and sustainable data architecture. The establishment, establishment and monitoring of data governance, data quality and compliance, including the introduction of roles and standards in accordance with data protection laws and internal guidelines, is also part of your role. You implement and monitor effective data management strategies, policies and processes across all business areas. The establishment, management and continuous development of an interdisciplinary data, data science and AI team is part of your claim as a leader. .