About the role
Work Your Magic with us! Ready to explore, break barriers, and discover more? We know you've got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us. Everything we do in Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency. Together, we push the boundaries of science to make more possible for our customers. Your role: We are looking for competencies in solving data challenges through engineering and process development. You've gained extensive knowledge in machine learning and data science, and now it's time to apply it practically! Join us in leveraging advanced modeling techniques to develop optimized solutions that meet the real-world needs of our internal clients. Who You are: Student in Data Science or Computer Science, or a related field such as Software Engineering, etc… Knowledge in Machine Learning, including feature engineering and model training Capable of employing a variety of advanced machine learning algorithms to analyze large datasets and extract meaningful insights Analytical mindset, equipped with strong visualization skills or highly motivated to develop them (e.g., Plotly, Altair, Seaborn) Familiarity with Streamlit / Plotly Dash / Docker Container and/or JavaScript is highly welcome! Deep Learning experience and / or Computer Vision (e.g. Yolo) is beneficial Ability to work with interdisciplinary global teams, on-site and remotely Good communication skills in English (B2 level or higher) The position is limited to 6 month with option for extension.
