Project Delivery Digital Engineering & Property Services Co-Op

Johnson & Johnson MedTech

New Brunswick (NJ)

On-site

USD 28,000 - 41,000

Part time

14 days+
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Benefits offered by this job

Medical benefits
Sick time
Pension plan

Job summary

engineeringjobs.net, Inc. is seeking a co-op to support Digital Engineering solutions by defining technical requirements with data scientists and engineers, managing documentation, and creating data dashboards.

You will assist in implementing cloud and AI-based applications to drive innovation and efficiency. This role offers exposure to analytics tools and cross-functional collaboration within a dynamic engineering environment, ideal for students building practical experience in AI, cloud, and

Qualifications

  • Candidates must have completed their undergraduate freshman year and be pursuing a degree in Computer Science, Data & Analytics, Industrial Engineering, or AI.
  • A cumulative GPA of 3.0 or higher is required, along with proficiency in software development, cloud platforms, and data management.

Responsibilities

  • Define technical requirements and specifications in collaboration with data scientists and engineers.
  • Manage digital engineering documentation and create data dashboards.
  • Assist in the implementation of cloud and AI-based applications.

Skills

Computer science
Data analytics
Artificial intelligence
Cloud computing
Software development
Full stack development
JavaScript
Python
Java
SQL
Power BI
API development
SharePoint
Automation
Machine learning
Neural networks

Education

Pursuing undergraduate degree in CS/Data & Analytics/Industrial Engineering/AI

Tools

Power BI
SharePoint
API development

Job description

The co-op will support Digital Engineering solutions by defining technical requirements and specifications in collaboration with data scientists and engineers. They will also manage digital engineering documentation, create data dashboards, and assist in the implementation of cloud and AI-based applications.

Requirements: Candidates must have completed their undergraduate freshman year and be pursuing a degree in Computer Science, Data & Analytics, Industrial Engineering, or AI. A cumulative GPA of 3.0 or higher is required, along with proficiency in software development, cloud platforms, and data management.

Key Skills: Computer science, Data analytics, Artificial intelligence, Cloud computing, Software development, Full stack development, JavaScript, Python, Java, SQL, Power BI, API development, SharePoint, Automation, Machine learning, Neural networks

Benefits: Medical benefits, Sick time, Pension plan

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