Data Scientist (m/f/d)

• 27 juin 2026 • 100% • Durée indéterminée • Staefa Staefa, Switzerland Data Scientist (m/f/d) As a Data Scientist, you will transform large-scale real-world data into meaningful insights that improve products, patient journeys, and business decisions. Working within an interdisciplinary and agile R&D environment, you will collaborate closely with engineers, product managers, product marketing, and business stakeholders to develop innovative data-driven solutions for the hearing care industry. In return, you will have the opportunity to work with cutting-edge technologies, shape future MedTech solutions, and contribute to products that improve the lives of millions of people around the world. More about the position • Translate business and stakeholder requirements into data-driven analyses and digital solutions that support strategic decision-making. • Develop machine learning models and advanced analytics using large-scale real-world product data to improve products, applications, and customer experience. • Apply statistical methods and AI techniques to health-related datasets to generate actionable clinical and business insights. • Analyze user behavior and product usage data to better understand patient needs, preferences, and journeys. • Support the development, governance, and maintenance of data catalogs and data assets. • Collaborate closely with interdisciplinary R&D, engineering, product management, and business teams in an agile environment. • Stay up to date with the latest advances in data science, machine learning, and AI, identifying opportunities to translate innovation into product features and business value. More about you • Bachelor's or Master's degree in data science, engineering, computer science, or a related field; PhD preferred. • More than 4 years of industry experience as a Data Scientist or in a similar role. • Experience in MedTech, healthcare, pharmacy, or another related scientific industry. • Expertise in psychology, audiology, health sciences, or a closely related scientific field. • Strong experience in machine learning, statistics, and data analysis. • Advanced skills in Python, Databricks, Azure, or equivalent. • Experience with large datasets and data pipelines. • Structured, analytical, and solution-oriented mindset. • Excellent communication skills with management and stakeholders. • Stay informed about developments in AI and integrate them into daily work. • Proficiency in English. More about what we offer As one of the leading global providers of hearing care based in Switzerland, we are committed to building an inclusive culture. We aim to create an environment where you can balance a successful career with your commitments and interests outside of work, thanks to our flexible hybrid work model. We offer a wide range of training opportunities for your professional and personal development, as well as exceptional growth prospects with individual development plans.