[DS] Data Scientist [MedTech]

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 jnj.com . As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Chiyoda, Tokyo, Japan Job Description: About MedTech   Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech     Key Objectives   Advanced Analytics (AA) is a core strategic capability for the MedTech Company, enabling data-driven decision-making through insight generation and advancing productivity by simplifying processes through advanced technology.  The Data Scientist serves as a senior analyst and project leader, responsible for delivering advanced analytical solutions, shaping analytical approaches, raising quality standards, and translating complex analyses into actionable business decisions across the organization.  This role reports to the Advanced Analytics Manager.

1. Business Partnership & Strategic Alignment  Act as a senior analytical partner to internal stakeholders, developing a deep understanding of business strategies, market context, constraints, and decision-making processes.  Identify high-impact business opportunities and challenges, translating them into clearly defined problem statements, analytical approaches, and success metrics.  Communicate insights, assumptions, risks, limitations, and recommendations clearly to business stakeholders to support informed decision-making and drive action.    2. Project Execution & Cross-functional Collaboration  Collaborate closely with cross-functional teams, including business, technology, and data engineering, to execute data science and AI projects effectively.  Lead analytical projects end-to-end by coordinating roles, timelines, and dependencies.  Communicate progress, risks, and issues transparently to stakeholders to ensure alignment and timely decision-making.  3. Data Science, AI & Advanced Analytics Delivery  Design, develop, and deploy advanced analytical and AI models to optimize commercial activities, marketing strategies, and business processes.  Apply advanced modeling techniques to improve customer experience, revenue growth, targeting effectiveness, and other strategic objectives.  Establish and govern A/B testing and experimentation frameworks, ensuring statistical validity, interpretability, and compliance with internal standards.  4. Data Management, Model Operationalization & Governance  Evaluate the quality, effectiveness, and limitations of data sources and data collection methods.  Deliver projects in line with defined internal processes and approval flows.  Partner with technology and data engineering teams to operationalize models and embed analytics into business workflows.  Continuously monitor model performance post-deployment and drive optimization to improve accuracy, effectiveness, and business impact.    Key Competencies   Relationships/Communication - Ability to manage successfully in a matrix