Data Scientist Co-op - Gloucester, MA

Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry.

The work we do together advances the world’s technology.

What We Offer

Location:

Gloucester,MAYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .Applied Materials’ Gloucester Applications Lab, Metrology team is seeking a motivated Co-op to help modernize statistical process control (SPC) and tool-health monitoring.

The successful candidate will organize and streamline existing SPC charts and protocols, develop intuitive dashboards for rapid review, and improve how process technicians receive pass/fail SPC status and exception notifications. This role combines data analytics, visualization, process improvement, and hands-on collaboration in a semiconductor applications-lab environment.

Key Responsibilities
· Review, organize, and standardize existing SPC charts, control plans, and monitor protocols across metrology systems and process tools.
· Support the lab data-repository initiative by consolidating and migrating data from legacy metrology tools, including TW and Rs systems, to a centralized network location to improve data accessibility, traceability, and long-term lab modernization.
· Assess current SPC performance and identify charts, limits, or workflows that require investigation or improvement, including processes with weak capability indicators such as Cpk.
· Develop a centralized dashboard and data-visualization solution that enables engineers and technicians to review SPC trends, tool health, and exceptions efficiently.
· Create clear pass/fail status indicators and an alerting workflow to notify process technicians when a tool passes or fails an SPC check.
· Automate or simplify recurring data collection, chart generation, review, and reporting steps where practical.
· Partner with engineers and process technicians to define user requirements, test solutions, document workflows, and support adoption.
· Prepare concise technical documentation and present project progress, findings, and recommendations to the Applications Lab  start date is January 2027, onsite at our Gloucester, MA location

Qualifications

Currently pursuing a BS, MS, or Ph.D. in Mathematics, Statistics, and Data Science.

Must be available to work full-time for a 6–8 months internship/co-op assignment and in student status

Demonstrated programming experience and strong knowledge of statistical process control (SPC) using Statistical SW (such as JMP), Python, MATLAB, or similar computational tools.

Functional Knowledge Demonstrates strong analytical, problem-solving, and critical-thinking skills, independently leading technical investigations and driving business productivity with minimal supervision.

Rapidly adapts to new equipment, processes, and technologies while effectively operating in…