.Senior Global ML Engineer / Data Scientist Olympus Medical Products Portugal (OMPP) | CorporateType of employment:Permanent employment Function:IT Location:Full Remote (allocated to Coimbra office) Olympus Medical Products Portugal is a subsidiary of the Olympus Group. At Olympus, we are committed to our purpose of making people's lives healthier, safer and more fulfilling. As a global medical technology company, we partner with healthcare professionals to provide best-in-class solutions and services for early detection, diagnosis and minimally invasive treatment, aiming to improve patient outcomes by elevating the standard of care in targeted disease states. The Global Insights & Analytics team at Olympus Corporation helps define and lead the transformation towards becoming a global, data-driven MedTech company with the help of data and modern data technologies (e.G., Machine Learning, Deep Learning). To us, Data and Advanced Analytics is an important lever to reach our business targets, now and in the future; it helps differentiate ourselves from our competition and ensure sustainable revenue growth at optimal margins. Olympus is now looking for seasoned Senior ML Engineers / Data Scientists to help scope, build and refine effective Data Science Solutions for Olympus worldwide. The Senior ML Engineer / Data Scientist would work with a team of seasoned Data Solutions and Cloud Architects, DataOps/MLOps engineers, and Data Engineers to help drive the transformation towards effective data usage within Olympus, in tight collaboration with business stakeholders and Analytics Product owners. Your Responsibilities Takes ownership and drives the adoption of best practices, standards, and methodologies to maintain high-quality data science work within their assigned Advanced Analytics capability area. Conveys the message and value of their area of capabilities (e.G., AI) to the organization, influencing decision-making processes and becoming a trusted advisor for the key business stakeholders and relevant communities. Stays up-to-date with the latest advancements and innovations in their domain, actively bringing in new knowledge to enhance the team's capabilities. Evaluates and recommends new technologies, tools, and Data Science / Machine Learning techniques to enhance data science processes and improve efficiency. Fosters a culture of continuous learning and growth within the team, encouraging professional development and knowledge sharing. Collaborates with stakeholders across the organization to understand their business objectives and define data-driven solutions that align with these objectives. Works closely with the Analytics Product Owners and the Cloud/Engineering team to ensure delivery of the Data Science / Machine Learning part of the projects within time, cost, and quality