Internship Overview

The Home Depot’s Summer Internship program offers college students an opportunity to develop leadership skills and gain hands on experience in a corporate environment. During an 11 – week period from May 13 - July 26, 2024, interns will be assigned to a functional team such as Supply Chain, Marketing, e-commerce, Technology, Finance, Operations, Merchandising, Outside Sales & Services, Human Resources, etc. Interns will learn more about our retail business and our corporate offices while having the opportunity to work on a pre-assigned project that impacts the function they are supporting. Additionally, interns participate in networking and development activities that set them up for success as they build their careers.

The Data Science Intern Program offers talented college students the opportunity to develop their advanced data science skills while supporting the Company's strategic objectives. Intern candidates are assigned to a project aligned to business areas such as e-Commerce, Merchandising, Operations or Finance.
The Home Depot's internship program was recently named in the top 50 in the US. Our program offers college students an opportunity to develop leadership skills and gain hands on experience working with a number of leaders on projects that directly impact the business for one of the world's leading retailers. During the 12-week period, interns will focus on working with a variety of data science roles and functions to translate business questions into actionable insights and deliver high quality analytical solutions.

• 20% Business Collaboration - Participate in meetings across the enterprise data science community, gaining exposure to cross functional business units; Build networking relationships and receive mentoring from team members and top-level management
• 20% Communicating Results - Communicate findings and project status clearly and professionally through presentations; Provide recommendations to upper management; Provide comprehensive report out to senior leaders on assignments and other related projects
• 60% Data Analytics - Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python; Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high quality analytics solutions

• This position typically reports to the Manager
• This position has 0 Direct Reports

• No travel required.

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.