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Data Scientist Co-Op - Spring 2026

Data Scientist Co-Op - Spring 2026

EntegrisColorado Springs, CO, United States
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Job Title :

Data Scientist Co-Op - Spring 2026

Job Description :

Data Scientist Co-Op - Spring 2026

Here at Entegris, we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue the mission.

THE ROLE

Our site in Colorado Springs, CO - Rockrimmon is seeking a / an Data Scientist Co-Op to join our team for the Spring 2026 season. This assignment is intended to be 6 months in duration.

We're seeking a curious and driven Data Scientist Co-op to join our engineering team. This role is ideal for students who want to apply their analytical skills to real-world manufacturing and metrology challenges. You'll work alongside experienced engineers and scientists to develop models, analyze data, and improve processes that impact product quality and performance.

What You'll Do

  • Analyze large datasets from manufacturing and metrology systems to identify trends and anomalies
  • Develop predictive models and machine learning algorithms to support process optimization
  • Collaborate with cross-functional teams to define data requirements and deliver actionable insights
  • Automate data pipelines and reporting tools using Python, SQL, or similar technologies
  • Document findings and present results to engineering and leadership teams

What We Seek

  • Strong foundation in Python, R, or similar programming languages
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib)
  • Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow)
  • Excellent problem-solving and communication skills
  • Prior internship or project experience in a technical or manufacturing environment is a plus
  • Desired Major(s) & Graduation Year

  • Currently pursuing a bachelor's or master's degree in data science, computer science, statistics, engineering, or related field
  • Graduation date of Spring 2026 or later
  • Eligibility

  • Must be a currently enrolled student
  • Available to work 40 hours a week, M-F (8a-5p) beginning in January through June.
  • Must be familiar with the universities requirements to participate in a co-op program
  • Why Work at Entegris

    Lead. Inspire. Innovate. Define Your Future.

    Not everyone who works for a global company shares the same background, experiences and perspectives. We leverage the differences of our employees to bring new ideas to the table. Every employee throughout the company is encouraged to share input on projects and initiatives. Our decision-making process is truly a collaborative effort as we realize there are leaders at every level of the organization. We put our values at the core of how we operate as an organization - not just when it's convenient, but in a lasting and meaningful way. We want the time and energy you spend here to have a positive impact on your life inside and outside of the office.

    What We Offer

    Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.

  • Generous 401(K) plan with an impressive employer match
  • Excellent health packages to fit your needs
  • Flexible work schedule with paid holidays and sick time
  • Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence
  • Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.

    At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.

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    Data Scientist • Colorado Springs, CO, United States

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