Senior Data Scientist

About this role

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: Santa Clara, California, United States of America

Job Description: About Johnson & Johnson 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.

About MedTech Surgery Fueled by innovation at the intersection of biology and technology, we are developing the next generation of smarter, less invasive, more personalized treatments.

Are you passionate about improving and expanding the possibilities of surgery? Ready to join a team that is reimagining how we heal? Our Surgery team will give you the chance to deliver surgical technologies and solutions to surgeons and healthcare professionals around the world. Your contributions will help effectively treat some of the world’s most prevalent conditions such as obesity, cardiovascular disease and cancer. Patients are waiting. Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

Job Description Johnson & Johnson MedTech Surgery is seeking an experienced Senior Data Scientist, Service Innovation, to advance the service data strategy for connected medical device platforms. This role will develop scalable data models, analytics pipelines, and AI-enabled insights that improve service operations, device reliability, and customer outcomes. The Senior Data Scientist will partner across Service, R&D, Engineering, Quality, Regulatory, IT, and Data Platform teams to define service data requirements, influence structured device logging, and deliver analytics solutions across the service ecosystem. The role will complement enterprise data platform capabilities by shaping service-specific models, integration requirements, and analytical use cases rather than recreating platform services.

Key Responsibilities • Define and execute a service data strategy aligned with Service Operations priorities and the Service Digital Innovation Roadmap.

• Design and maintain scalable analytical data models for device telemetry and logs, service and maintenance workflows, and customer interaction data.

• Partner with R&D and Engineering to translate service use cases into structured logging requirements, telemetry specifications, schemas, and data contracts.

• Influence device-agnostic data structures and governance standards that support service use cases across multiple products and platforms.

• Develop predictive and diagnostic models for device performance monitoring, failure prediction, root cause analysis, and service resource optimization.

• Apply statistical methods, machine learning, and AI techniques to large-scale service datasets, with appropriate validation, monitoring, and documentation.

• Partner with IT and Data Platform teams to integrate, normalize, validate, and serve service data through governed enterprise platforms and analytics-ready datasets.

• Integrate data across connected devices and enterprise systems, including ERP, CRM, and service platforms, while maintaining lineage, quality, and role-based access.

• Define service KPIs and support dashboards, reporting, and analytical products that translate data into actionable recommendations.

• Communicate findings, tradeoffs, and recommendations to technical and business stakeholders, and drive adoption through documentation, training, and cross-functional collaboration.

• Ensure analytical solutions and data processes support auditability, cybersecurity, privacy, and applicable quality and regulatory requirements.

Qualifications: • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related technical field.

• 5+ years of experience in data science, data engineering, analytics, or a related role, including hands-on work with large-scale datasets and distributed processing systems.

Required: • Advanced proficiency in Python and SQL for data processing, statistical analysis, machine learning, and query optimization.

• Hands-on experience with Apache Spark or comparable distributed data frameworks and notebook-based analytics environments such as Databricks.

• Experience designing analytical data models, including relational, dimensional, and time-series structures.

• Strong knowledge of statistical methods, feature engineering, model evaluation, and analytical validation.

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