AI Data Science Analytics

GE Appliances, a Haier company•Louisville, KY

4d•Onsite

About The Position

At GE Appliances, a Haier company, we come together to make “good things, for life.” As the fastest-growing appliance company in the U.S., we’re powered by creators, thinkers and makers who believe that anything is possible and that there’s always a better way. We believe in the power of our people and in giving them the freedom to explore, discover and build good things, together. The GE Appliances philosophy, backed by three simple commitments defines the way we work, invent, create, do business, and serve our communities: we come together, we always look for a better way, and we create possibilities. Interested in joining us on our journey? As a Technical Co-op, you will have the opportunity to Imagine, Design, Build, & Learn! This role offers hands-on experience while working on challenging projects that contribute to the company’s growth! You will have the opportunity to work with some of the brightest minds in the business and partner with a mentor who will help set your specific goals, deliverables, and expectations throughout your rotation.

Requirements

Completed a bachelor's degree in Mathematics, Data Science, or a related quantitative field from an accredited university.
May 2026 graduation date
Cumulative GPA >=3.0 (out of 4.0) at the time of graduation
Legal authorization to work in the country/region where the business is hiring is required. We will not sponsor individuals for employment visas now, nor in the future, for this position.

Nice To Haves

Related coursework
Exceptional interpersonal and communication skills
Solid analytical skills
Desire and ability to learn
Passion for engineering

Responsibilities

Work alongside the AI Chat team to develop and enhance AI-powered tools and applications.
Analyze existing data, processes, and systems to identify inefficiencies and opportunities for improvement.
Investigate root causes of issues within existing AI and analytics solutions and develop effective resolutions.
Design, build, and test AI and data science solutions that improve operational efficiency and business outcomes.
Collaborate with engineers, data scientists, and business partners to implement innovative AI solutions.
Leverage data analytics and machine learning techniques to solve real-world business challenges.