PpPerspective. Ypsomade. At Ypsomed, we are shaping the future of medical technology together - with the aim of sustainably improving the quality of life for people with chronic conditions. We promote an open corporate culture in which diversity is valued, and new perspectives are welcome. Our employees take responsibility, work in an interdisciplinary manner and develop innovative solutions with real added value for society. /p pWe are looking for an experienced Data Scientist with expertise in AI and data engineering to join our Intelligence Center. In this role, you will design, develop, and maintain data‑driven solutions that transform raw data into actionable insights, drive innovation, and support data‑informed decision‑making across the company. /p h3Data Scientist – Intelligence Center | 80 – 100% /h3 pRef. No. 7907 | Location: Solothurn | Hybrid /p h3Your main tasks /h3 ul liBuild and maintain scalable data pipelines to provide high‑quality data for AI, BI, and analytics use cases. /li liDesign, train, and validate machine learning and deep learning models to uncover trends, patterns, and anomalies. /li liCollaborate with cross‑functional teams to integrate data solutions into workflows, ensuring alignment with business goals. /li liTranslate business needs into actionable insights through dashboards, visualizations, and presentations while keeping stakeholders aligned. /li liDocument solutions according to regulatory standards and share knowledge across the organization. /li liMonitor, retrain, and maintain models based on feedback and evolving business needs. /li liDrive adoption of data‑driven processes and support stakeholders with best practices. /li liStay up‑to‑date with advancements in AI, data engineering, and analytics to enhance solution capabilities. /li liOptimize cost and resource usage of AI solutions. /li liTrack and report business impact of deployed solutions using KPIs. /li liEnsure data security, compliance, and ethical standards throughout the data lifecycle. /li /ul h3Your profile /h3 ul liMaster’s degree (PhD preferred) in Data Science, Computer Science, Physics, Mathematics, or a related field. /li li5+ years of experience designing, developing, and deploying AI‑based data products end‑to‑end. /li liStrong knowledge of machine learning and deep learning methodology, AI/ML frameworks (e.g., PyTorch, TensorFlow), and data engineering tools. /li liProficient in Python, R, SQL, and other relevant technologies. /li liSolid scientific background in mathematics, statistics, probability, and AI. /li liExperience with cloud platforms (e.g., Azure) and cloud‑based data lakes or warehouses (e.g., Databricks, Dataiku). /li liExperience in regulated industries, ideally healthcare or MedTech, with understanding of compliance and data governance. /li liStrong communicator and team player, translating complex technical concepts into business insights while embracing continuous learning. /li liFull professional proficiency in German; fluent in English. /li /ul h3Your benefits /h3 ul liShiftwork, annual working hours, part‑time options. /li liFlexWork: Work where and when you want (in Switzerland). /li liUp‑to‑date production, offices, and break areas. /li liPension fund: Ypsomed covers 55% of the pension contributions. /li liMobility support: Charging stations, Swiss Half Fare Card, parking, close to public transport. /li liFree or affordable sport facilities across Switzerland. /li liFamily friendly: Financial contributions to childcare. /li /ul h3Contact /h3 pbHeiko Sieger /bbr/Workforce Acquisition Engagement Partner /p /p #J-18808-Ljbffr