2027 Spring Data Scientist Co-op - Gloucester, MA

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 team.

Co-op 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 shared research facilities and adhering to cleanroom protocols.
• Communicates technical findings clearly and effectively through written, verbal, and presentation skills, enabling collaboration across multidisciplinary teams.

Compensation:

$33 - $50 per hour

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### Shift:

10-Day 8-Hr (United States of America)

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### Travel:

Yes, 10% of the Time

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### Relocation Eligible:

Yes

### Referral Payment Plan:

None

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.