Note: The job is a remote job and is open to candidates in USA. Johnson & Johnson MedTech is focused on healthcare innovation, aiming to improve surgical outcomes through advanced technologies. The Senior Data Scientist will develop data strategies and analytics solutions to enhance service operations and customer outcomes for connected medical device platforms.
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
Skills
- 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
- 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
- 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
Benefits
- 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.
- 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: - https://www.careers.jnj.com/employee-benefits
Company Overview