Jobs › Companies › Applied Materials › 2027 Spring Data Scientist Co-op - Gloucester, MA

About this 2027 Spring Data Scientist Co-op - Gloucester, MA role at Applied Materials

Applied Materials · Onsite · 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,MA

You’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 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

Additional Information

Time Type:

Full time

Employee Type:

Intern / Student

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. 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.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [email protected], or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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How this Data Scientist salary compares

This role pays $86,320/yr — below the typical range for Data Scientist roles.

$99,488 median $166,500 $250,750

Typical range $129,515–$211,756/yr, from 1,249 comparable Data Scientist listings on JobsRadar (pay annualized to USD). See Data Scientist salary insights →

About Applied Materials

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