At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

JOB DESCRIPTION:

Johnson & Johnson MedTech is recruiting for a Senior Data Scientist (F/M/X), located in Norderstedt, Germany.
At Johnson & Johnson MedTech, we believe that varied perspectives drive innovative solutions. As a leading player in the engineering sector, we are committed to optimizing our supply chain processes and enhancing operational efficiencies. We understand the value of data and apply it to empower decision-making and cultivate continuous improvement across our organization.

JOB SUMMARY:

In this role, you will play a vital part in designing, developing, and programming methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources, crafting actionable insights and solutions that will positively impact businesses across the company.

EDUCATION:

• A bachelor’s degree in Data Science, Statistics, Mathematics, Engineering, or a related field

• Lead the development of innovative software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from various sources.
• Collaborate with stakeholders to analyze business requirements and effectively translate them into robust data models, identifying key entities, relationships, attributes, and constraints.
• Share significant, actionable insights with collaborators derived from diverse data and metadata sources, making data accessible and impactful.
• Adopt continuous learning by staying updated with emerging trends, new technologies, and best practices in the field of data science and analytics.
• Foster strong collaboration within cross-functional teams, including business partners, developers, and fellow data scientists, ensuring clear and effective communication of technical concepts to non-technical partners.
• Mentor and support team members, promoting an environment of growth and development within the analytics function.