Senior Data Scientist

The Future Begins Here

A future-ready organization uses data and digital capabilities to meet the needs of patients, people, and the planet. In this role at a state-of-the-art center, you will have the opportunity to grow your skills and create solutions that benefit patients around the world. You will become part of an internal innovation engine.

An inclusive workplace recognizes the diverse backgrounds and abilities employees bring. The organization is continually improving workplace experience and accessibility for everyone and welcomes applications from all qualified candidates.

The Opportunity

Design and implement the AI/ML strategy across Manufacturing Sciences, working in close partnership with domain leaders to translate strategic priorities into scalable and compliant solutions. Design AI/ML roadmaps, drive adoption of advanced analytics, mentor data scientists, and influence analytics direction to deliver measurable operational impact. Shape manufacturing AI/ML strategy, lead advanced projects, and directly impact global manufacturing operations in a collaborative, innovative environment.

Responsibilities

• Lead global AI/ML initiatives across 20+ manufacturing facilities in alignment with Manufacturing Sciences strategic priorities.
• Architect AI platforms integrating real-time manufacturing data with cloud MLOps environments.
• Drive innovation in AI/ML manufacturing optimization and autonomous process control.
• Establish standards for model governance, bias mitigation, and regulatory compliance.
• Mentor data scientists and collaborate with Manufacturing Sciences SMEs, IT, engineering, and quality business functions.
• Translate emerging AI/ML trends into practical applications that support Manufacturing Sciences decision-making and operational goals.

Benefits

• Cafeteria
• Medical care
• Bridge days
• Summer hours
• Multisport Card

Requirements

• University education at Bachelor’s, Master’s, or postgraduate doctorate level.
• English — Upper intermediate (B2).

Core Experience & Expertise

• 5+ years of professional experience in Data Science, Machine Learning, and Artificial Intelligence.
• Hands-on experience developing and applying Machine Learning solutions to solve complex business challenges.
• Proven expertise in AI and Deep Learning methodologies and their practical application.