AI/ML Analytics Engineer (2027 New College Graduate)

GlobalFoundries; New York (NY); On-site; USD 58,000 - 101,000; Full time

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

About GlobalFoundries GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power‑efficient and high‑performance solutions for high‑growth markets. GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity and sustainability. For more information, visit www.gf.com.

New College Graduates Overview:

We offer many full-time employment paths for recent graduates, which provide accelerated training in a fast-paced work environment, cross-functional working opportunities, and talent mobility. New college graduates are provided with mentorship, networking, and leadership opportunities, which give our new team members life-long connections and skills.

Summary of Role:

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. Working closely with the Analytics Center of Excellence Digital Manufacturing Manager and cross-functional Fab teams, this engineer will define project objectives, prepare manufacturing datasets, apply statistical and machine learning methods, develop predictive agentic solutions, and communicate actionable recommendations to stakeholders and Fab leadership.

Essential Responsibilities include:

Partner with the Analytics Center of Excellence Digital Manufacturing Manager to define project objectives, deliverables, success measures, and timelines; support the design, development, programming, testing, and documentation of analytics methods, processes, and systems across multiple use cases. Collaborate with manufacturing, engineering, and other cross-functional teams to understand business needs, identify opportunities for artificial intelligence, machine learning, and digital manufacturing solutions, and translate requirements into measurable data-driven approaches. Collect, clean, integrate, and preprocess large datasets from multiple sources; apply statistical analysis, visualization, and machine learning techniques to identify patterns, trends, root causes, and improvement opportunities. Develop, evaluate, and implement predictive models and algorithms and agentic solutions for real-world manufacturing problems; communicate findings, limitations, and recommendations to technical stakeholders and Fab leadership using SMART objectives and clear measures of value.

Other Responsibilities:

Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:

Education – Graduating with Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Computer Engineering or related field from an accredited degree program. Must have at least an overall 3.0 GPA and proven good academic standing. Language Fluency - English (Written & Verbal)

Preferred Qualifications:

Prior related internship or co-op experience. Demonstrated prior leadership experience in the workplace, school projects, competitions, etc. Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making. Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity. Strong written and verbal communication skills Strong planning & organizational skills Coursework, research, internship, or project experience in statistical analysis, machine learning, predictive modeling, data visualization, or digital manufacturing analytics. Programming experience with Python, R, SQL, or similar tools and familiarity with data preparation, model evaluation, visualization, and reproducible analytical workflows. Programming experience with agentic solution building, including leveraging agentic solutions to rapid prototype, develop new features, and scale solutions #NCGProgramUS Expected Salary Range $58,400.00 - $100,800.00 The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at [e-mail] and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory. All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

We shape what's essential At GlobalFoundries you will find a vibrant work environment where collaboration and innovation thrive. Our diverse and global team shares a culture of respect and inclusivity, representing the best in the industry. We celebrate success together and are united by our dedication to excellence and our desire to improve and empower the world.