Senior Global ML Engineer / Data Scientist Olympus Medical Products Portugal (OMPP) | Corporate Type 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.
Collaborates with external vendors, evaluating their capabilities and ensuring their alignment with data science / machine learning standards and project requirements.
Continuously engages in hands-on data analysis, modeling, and prototyping DS frameworks to deliver high-quality outputs.
Collaborates with cross-functional teams to define data-driven solutions that align with the organization's objectives and optimize decision-making processes.
Produces high-quality code that allows the team to build scalable solutions and put solutions into production.
Leads and oversees several ideation and scoping sessions with business stakeholders to determine the data needed to answer specific questions or problems related to the business.
Takes a lead role, and oversees, mentors, and coaches others in the development, deployment, and integration of prioritized Advanced Analytics solutions in collaboration with local/regional cross-functional teams and/or external partners.
Takes ownership of identifying, defining, and completing required documentation, demos or presentations as needed.
Oversees, conceptualizes, drives, and continuously refines Advanced Analytics guidelines and standards by synthesizing learnings from prioritized Advanced Analytics initiatives.
Minimum Requirements Master or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics).
At least 4-6 years of relevant working experience, ideally in pharma/healthcare/MedTech.
Solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing/supply chain areas a plus).
Strong experience in data mining, statistical modeling, predictive modeling, and development of machine learning algorithms.
Proven problem-solving ability in international settings, preferably with developing markets.
Proven experience in working in a cloud environment, preferably Azure.
Practical experience in deploying machine learning solutions.
Strong understanding of good software engineering principles and best practices.
Ability to work and lead cross-functional teams to bring business and data science closer together - consultancy experience a plus.
Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders.
Deep domain expertise in a specific field, such as Artificial Intelligence, Machine Learning, Natural Language Processing, or Computer Vision.
Strong programming skills in languages such as Python or R, with proficiency in data manipulation, wrangling, and modeling techniques.
Strong experience building and debugging complex SQL queries.
Excellent knowledge of statistical techniques, machine learning algorithms, and their practical implementation in real-world scenarios.
Exceptional communication and presentation skills, with the ability to convey complex concepts and insights to both technical and non-technical stakeholders.
Proven track record of delivering data-driven solutions that have had a measurable impact on business outcomes.
Exposure to big data technologies (e.g., Hadoop, Spark) is highly desirable.
Demonstrated ability to drive the adoption of data science best practices, standards, and methodologies within an organization.
Fluency in English a must, additional languages a plus.
About Olympus Corporate The Corporate Division is responsible for centralized functions that include Finance and Controlling, HR, IT, Quality Management, and Supply Chain Management. It provides essential services and support to all business divisions. Moreover, it is an important project initiator and leader within the international network.
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