Senior Data Scientist - IoT & MedTech Analytics

6267-Auris Health Inc. Legal Entity; Santa Clara (CA); Hybrid; USD 125,000 - 201,000; Full time

Benefits offered by this job

Comprehensive benefits

Vacation & sick leave

Job summary

Johnson & Johnson is seeking a seasoned Data Scientist/Engineer to lead analytical data models, telemetry design, and predictive maintenance across MedTech and Innovative Medicine lines. You will partner with R&D and IT to translate business needs into scalable data solutions and dashboards.

The role requires strong Python/SQL skills, Spark/Databricks experience, and the ability to communicate complex results to diverse audiences in a regulated healthcare environment. Hybrid work options apply.

Qualifications

• Advanced proficiency in Python and SQL for data processing and analysis.
• Hands-on with large-scale datasets and distributed processing systems.
• Experience with Spark or comparable frameworks and Databricks notebooks.
• Designing analytical data models: relational, dimensional, and time-series.
• Experience with cloud data pipelines (AWS/Azure) and governance.

Responsibilities

• Define and execute a service data strategy aligned with service operations priorities.
• Design scalable data models for device telemetry and logs.
• Translate use cases into structured logging requirements and data contracts.
• Develop predictive and diagnostic models for device performance monitoring.
• Communicate findings to technical and business stakeholders; drive adoption.

Skills

Python

SQL

Apache Spark

Databricks

Power BI

Machine Learning

Education

Bachelor’s or Master’s in Data Science/CS/Engineering

Tools

Databricks

Power BI

Job description

Johnson & Johnson is seeking a seasoned Data Scientist/Engineer to lead analytical data models, telemetry design, and predictive maintenance across MedTech and Innovative Medicine lines. You will partner with R&D and IT to translate business needs into scalable data solutions and dashboards.

The role requires strong Python/SQL skills, Spark/Databricks experience, and the ability to communicate complex results to diverse audiences in a regulated healthcare environment. Hybrid work options apply.