Senior Data Scientist

Johnson & Johnson
Santa Clara, CA, United States
8 days ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$125,000.0 - $201,250.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Business Analytics Applications Data Analysis Microsoft Azure Big Data Cloud Computing Cyber Security Information Engineering Data Governance Data Infrastructure Data Integration
+29 more
Data Structures Data Systems Data Visualization Distributed Data Store Python (Programming Language) Machine Learning Query Optimization Power BI SQL Databases System Testing Technical Data Management Systems Workflow Management Systems Enterprise Data Management Data Logging Data Processing Cloud Platform System Feature Engineering Apache Spark Model Validation Data Strategy Data Lakes Information Technology Performance Monitor Tools for Reporting Meditech Multiplatform Data Pipelines GXP Databricks

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., * 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.

Requirements

  • 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., 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

Benefits & conditions

$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

About the company

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., 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:13 min

Core components of the internal Optimize ecosystem

Dominik Schneider Dominik Schneider · World Congress 2025

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

2:53 min

Preparing highly scalable facial recognition for big data

Sefik Serengil · LIVE

Videos

See all

Related articles

See all