Data Scientist Summer Co-Op 2026

OmyaCincinnati, OH
3d

About The Position

BASIC FUNCTION: We are seeking a motivated and analytical Data Scientist Coop student to join our team. You will work closely with scientists and senior data scientists and cross-functional teams to analyze large datasets, build predictive models, and generate actionable insights that support business decisions. EOE Omya is a leading global producer of industrial minerals and a worldwide distributor of specialty materials. Our company was founded 140 years ago and remains a privately-owned, independent company headquartered in Switzerland but with offices and plants in more than 50 countries. When you join Omya, you become part of a global team that uses its creativity, expertise and experience to make a difference to people's lives. Thinking of Tomorrow means focusing on the challenges of the future and how we can develop mineral products to solve them. This is a collaborative environment where people work towards common goals, with a common purpose Our purpose, combined with our values of modesty, courtesy, integrity and perseverance, is the foundation of our business. Our values are relevant to our lives, not just our work. All Omya employees, partners and suppliers are bound by a Code of Conduct which reflects our values and guides our behavior.

Requirements

  • Must be currently enrolled in an accredited college or university, pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Ideal candidate must have 0-3 years of experience in a similar role and have proficiency in Python or R, and SQL
  • Understanding of statistical methods and machine learning algorithms.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.

Nice To Haves

  • familiarity with data visualization tools (e.g., Power BI, matplotlib, seaborn)

Responsibilities

  • Collect, clean, and preprocess data from various sources.
  • Perform exploratory data analysis to identify trends and patterns.
  • Assist in developing and deploying machine learning models.
  • Create dashboards and visualizations to communicate findings.
  • Collaborate with stakeholders to understand business needs and translate them into data solutions.
  • Document methodologies and maintain reproducible workflows.
  • Stay updated on the latest data science tools and techniques.

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What This Job Offers

Career Level

Intern

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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