Job description

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 jnj.com 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. • Experience developing or supporting governed data pipelines and analytics-ready datasets in cloud environments such as AWS or Azure. • Ability to translate service and business use cases into technical data, telemetry, and analytical requirements. • Strong written and verbal communication skills for documentation, stakeholder engagement, and explanation of complex technical concepts to non-technical audiences. • Demonstrated ability to work effectively in cross-functional, matrixed environments and manage ambiguity while driving outcomes. Preferred: • Experience with IoT, connected products, device telemetry, or high-volume machine log data. • Experience in medical devices, healthcare, or another regulated industry, including support for compliant and auditable data systems. • Knowledge of FDA, EU MDR, GxP, computer system validation, cybersecurity, data privacy, and data governance principles. • Experience integrating data across ERP, CRM, service, and reporting platforms. • Experience with Power BI or comparable visualization tools and with defining operational KPIs. • Experience with predictive maintenance, anomaly detection, failure prediction, root cause analysis, or service operations analytics. • Experience with Databricks, Spark, Delta Lake, workflow orchestration, and cloud object storage. • Ability to support multi-device, multi-platform analytics architectures and collaborate with enterprise data platform teams. Other: • May require up to 10% domestic and/or international travel for team meetings, workshops, or deployment support. • Hybrid or remote work environment depending on location; collaboration across global teams may be required. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via jnj.com , internal employees contact AskGS to be directed to your accommodation resource. #LI-GR1 #LI-Hybrid #JNJDataScience #JRD Required Skills: Preferred Skills: Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis The anticipated base pay range for this position is : $125,000.00 - $201,250.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave – 80 hours in a 52-week rolling period10 days Volunteer Leave – 32 hours per calendar year Military Spouse Time-Off – 80 hours per calendar year For additional general information on Company benefits, please go to: - careers.jnj.com

Requirements

Must-haves

Data Analytics & Computational Sciences Job Sub Function:
Santa Clara, California, United States of America Job Description:
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.

Nice-to-haves

Experience with IoT, connected products, device telemetry, or high-volume machine log data.
Experience in medical devices, healthcare, or another regulated industry, including support for compliant and auditable data systems.
Knowledge of FDA, EU MDR, GxP, computer system validation, cybersecurity, data privacy, and data governance principles.
Experience integrating data across ERP, CRM, service, and reporting platforms.
Experience with Power BI or comparable visualization tools and with defining operational KPIs.
Experience with predictive maintenance, anomaly detection, failure prediction, root cause analysis, or service operations analytics.
Experience with Databricks, Spark, Delta Lake, workflow orchestration, and cloud object storage.
Ability to support multi-device, multi-platform analytics architectures and collaborate with enterprise data platform teams.
$125,000.00 - $201,250.00 Additional Description for Pay Transparency:
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year

Application prep

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Keywords to mirror

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Platform: jnj
Effort: medium

Benefits

Benefits detected in the listing.

401(K)

Parental Leave

Wellness