Co-Op

Rich Products Corporation•Buffalo, NY

1d•$24 - $34

About The Position

Rich’s, also known as Rich Products Corporation, is a family-owned food company dedicated to inspiring possibilities. From cakes and icings to pizza, appetizers and specialty toppings, our products are used in homes, restaurants and bakeries around the world. Beyond great food, our customers also gain insights to help them stay competitive, no matter their size. Our portfolio includes creative solutions geared at helping food industry professionals compete in foodservice, retail, in-store bakery, deli, and prepared foods, among others. Working in 100 locations globally, with annual sales exceeding $4 billion, Rich’s is a global leader with a focus on everything that family makes possible. Rich’s®—Infinite Possibilities. One Family. Purpose StatementWe are seeking a motivated and curious Data + AI Co-Op to join our Enterprise Data & AI team. This full-time co-op opportunity is designed for a college student looking to gain hands-on experience working with modern data platforms, analytics, and emerging AI capabilities in a real-world enterprise environment. You will work alongside data engineers, analysts, and AI practitioners to support the development of data pipelines, analytics solutions, and AI-powered solutions that drive business value across the organization.

Requirements

Currently pursuing a Bachelor’s or Master’s degree in: o Computer Science o Data Science o Information Systems o Engineering or a related field
Basic understanding of SQL and/or Python
Familiarity with data concepts (tables, joins, basic transformations)
Strong problem-solving mindset and willingness to learn
Ability to work full-time (40 hours/week) during the co-op period

Nice To Haves

Exposure to tools like Databricks, Power BI, or similar platforms
Experience with data analysis, visualization, or small projects
Interest in AI, machine learning, or generative AI
Experience working with APIs or handling JSON data
Experience working with Git / Code Repositories & IDEs such as VSCode

Responsibilities

Assist in building and maintaining data pipelines that ingest, transform, and prepare data for analytics and AI use cases
Support data profiling and quality checks to ensure trusted and reliable datasets
Contribute to analytics and reporting solutions (e.g., dashboards, datasets, basic visualizations)
Help prototype Agentic AI and Generative AI use cases, including design, testing, and evaluation
Work with structured and unstructured data (e.g., tables, documents, text)
Collaborate with team members to understand business problems and translate them into data-driven solutions
Document processes, workflows, and learnings to support team knowledge sharing

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