Senior Data Scientist

Senior Data Scientist, Service InnovationJohnson & 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 ResponsibilitiesDefine 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 internal employees contact AskGS to be directed to your accommodation resource.