AI/ML Analytics Engineer

DataJobs; Town of Malta (NY); On-site; USD 58,000 - 101,000; Full time

Job summary

GLOBALFOUNDRIES is expanding its Analytics Center of Excellence with an early-career AI/ML Analytics Engineer in Malta, NY. This onsite role focuses on turning manufacturing data into actionable insights, ranging from predictive modeling to agentic solutions, by partnering with Digital Manufacturing and cross-functional teams.

The position emphasizes building and evaluating analytics workflows, collaborating with Fab leadership, and delivering measurable value through data-driven decisions.

Qualifications

• Must have a Bachelor's or Master's in Data Science, Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Computer Engineering, or related field.
• GPA of 3.0 or higher and proven good academic standing.
• Proficient in English (written & verbal).

Responsibilities

• Define project objectives, deliverables, success measures, and timelines in partnership with the Analytics Center of Excellence Digital Manufacturing Manager.
• Support design, development, testing, and documentation of analytics methods, processes, and systems across multiple use cases.
• Translate business needs from manufacturing and cross-functional teams into measurable data-driven approaches.
• Build predictive models, algorithms, and agentic solutions for real-world manufacturing problems.
• Communicate findings and recommendations to technical stakeholders and Fab leadership with clear value metrics.

Job description

GLOBALFOUNDRIES is building analytics capabilities to support data-driven decision-making in semiconductor manufacturing, and the Analytics Center of Excellence is expanding with a new early-career AI/ML Analytics Engineer. This onsite role in Malta, NY focuses on turning manufacturing data into actionable insights, from predictive modeling to agentic solutions, while partnering across Digital Manufacturing and cross-functional teams.

Role focus

• Define project objectives, deliverables, success measures, and timelines in partnership with the Analytics Center of Excellence Digital Manufacturing Manager
• Support the design, development, programming, testing, and documentation of analytics methods, processes, and systems across multiple use cases
• Understand business needs with manufacturing, engineering, and other cross-functional teams and translate requirements into measurable, data-driven approaches
• Build predictive models, 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

Data and analytics work

• Collect, clean, integrate, and preprocess large datasets from multiple sources
• Apply statistical analysis, visualization, and machine learning to identify patterns, trends, root causes, and improvement opportunities
• Evaluate and implement predictive models and analytics solutions, including reproducible analytical workflows

Safety and compliance

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

Required qualifications

• Graduating with a Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Computer Engineering, or a related field from an accredited degree program
• Overall 3.0 GPA and proven good academic standing
• English (Written & Verbal)

Preferred qualifications

• Prior related internship or co-op experience
• Demonstrated leadership experience in the workplace, school projects, competitions, or similar settings
• Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support decision-making
• Project management skills, including the ability to innovate, execute solutions, and navigate ambiguity
• Strong written and verbal communication
• Strong planning and 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), including data preparation, model evaluation, visualization, and reproducible analytical workflows
• Programming experience building agentic solutions, including rapid prototyping, developing new features, and scaling solutions

Technologies

• Python
• R
• SQL

Location and compensation

• Location: Malta, NY (onsite)
• Salary range: USD 58,400 - 100,800 per year
• The exact salary will be determined based on qualifications, experience, and location