Data Scientist - Intelligence Center
<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>Your main tasks<br/><br/></strong><ul><li>Build and maintain scalable data pipelines to provide high-quality data for AI, BI, and analytics use cases</li><li>Design, train, and validate machine learning and deep learning models to uncover trends, patterns, and anomalies</li><li>Collaborate with cross-functional teams to integrate data solutions into workflows, ensuring alignment with business goals</li><li>Translate business needs into actionable insights through dashboards, visualizations, and presentations while keeping stakeholders aligned</li><li>Document solutions according to regulatory standards and share knowledge across the organization</li><li>Monitor, retrain, and maintain models based on feedback and evolving business needs</li><li>Drive adoption of data-driven processes and support stakeholders with best practices</li><li>Stay up-to-date with advancements in AI, data engineering, and analytics to enhance solution capabilities</li><li>Optimize cost and resource usage of AI solutions</li><li>Track and report business impact of deployed solutions using KPIs</li><li>Ensure data security, compliance, and ethical standards throughout the data lifecycle<br/><br/><br/></li></ul><strong>Your profile<br/><br/></strong><ul><li>Master’s degree (PhD preferred) in Data Science, Computer Science, Physics, Mathematics, or a related field</li><li>5+ years of experience designing, developing, and deploying AI-based data products end-to-end</li><li>Strong knowledge of machine learning and deep learning methodology, AI/ML frameworks (e.g., PyTorch, TensorFlow), and data engineering tools</li><li>Proficient in Python, R, SQL, and other relevant technologies</li><li>Solid scientific background in mathematics, statistics, probability, and AI</li><li>Experience with cloud platforms (e.g., Azure) and cloud-based data lakes or warehouses (e.g., Databricks, Dataiku)</li><li>Experience in regulated industries, ideally healthcare or MedTech, with understanding of compliance and data governance</li><li>Strong communicator and team player, translating complex technical concepts into business insights while embracing continuous learning</li><li>Full professional proficiency in German; fluent in English</li></ul> </div>