Senior Data Scientist, MedTech Analytics & IoT Services

Johnson & Johnson Innovative Medicine; Santa Clara (CA); Hybrid; USD 121,000 - 201,000; Full time

Job summary

Johnson & Johnson MedTech Surgery is seeking a 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 collaborate across Service, R&D, Engineering, Quality, Regulatory, IT, and Data Platform teams to define data requirements, shape

Qualifications

• 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.

Responsibilities

• Define 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.

Skills

Python

SQL

Apache Spark

Data modeling

Statistics

Cloud (AWS/Azure)

Communication skills

Team collaboration

Education

Bachelor’s or Master’s in Data Science / CS / Eng / Stats

Tools

Databricks

Power BI

Job description

Johnson & Johnson MedTech Surgery is seeking a 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 collaborate across Service, R&D, Engineering, Quality, Regulatory, IT, and Data Platform teams to define data requirements, shape