AI/ML Analytics Engineer for Smart Manufacturing

GlobalFoundries

New York (NY)

On-site

USD 58,000 - 101,000

Full time

8 days ago
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Job summary

GlobalFoundries is seeking a new college graduate to join the Analytics Center of Excellence, Digital Manufacturing, and help develop data-driven solutions for semiconductor manufacturing. You will work with cross-functional Fab teams to define objectives, prepare datasets, and apply statistics and machine learning to drive improvements.

The role involves collaborating with the Analytics Center of Excellence Digital Manufacturing Manager and Fab leadership, delivering measurable value through

Qualifications

  • Bachelor’s or Master’s in Data Science, CS, Statistics, IE, EE from an accredited program.
  • Must have overall 3.0 GPA and good academic standing.
  • English language fluency (written & verbal).

Responsibilities

  • Define project objectives, deliverables, and timelines with cross-functional teams.
  • Prepare manufacturing datasets and preprocess data from multiple sources.
  • Apply statistical analysis, visualization, and ML techniques to identify insights.
  • Develop predictive models and agentic solutions for manufacturing problems.
  • Communicate findings and recommendations to Fab leadership and stakeholders.

Skills

Python
R
SQL
Data Visualization
Data Preparation
Statistical Analysis
Machine Learning
Communication
Project Management

Education

Bachelor's or Master's in Data Science
Computer Science
Statistics
Industrial Engineering
Electrical Engineering

Tools

Python
R
SQL

Job description

GlobalFoundries is seeking a new college graduate to join the Analytics Center of Excellence, Digital Manufacturing, and help develop data-driven solutions for semiconductor manufacturing. You will work with cross-functional Fab teams to define objectives, prepare datasets, and apply statistics and machine learning to drive improvements.

The role involves collaborating with the Analytics Center of Excellence Digital Manufacturing Manager and Fab leadership, delivering measurable value through

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