Data Science Graduate Internship (Summer 2024)

Key Skills

Agile methodologies, Data Analytics, Data science techniques, Data Visualization, Effective communication skills, Finance, Google BigQuery, Microsoft Office suites, Microsoft-Excel, Powerpoint, Python Programming, SQL, Statistics, Tableau

Job Description

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.

Position Purpose:

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.

Key Responsibilities:

• 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

Description of Roles: (Career paths that utilize this skillset full-time)

At The Home Depot, our associates always have room to move up and explore new opportunities. After the Internship, here are some examples of early career roles for interns with a background in Data Science:

• Data Science Analyst
• Associate Data Scientist
• Data Scientist

Direct Manager/Direct Reports:

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

Travel Requirements:

• No travel required.

Physical Requirements:

• 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.

Working Conditions:

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

Minimum Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications:

• Enrolled in a relevant graduate degree program
• Working knowledge of Microsoft Office Suite
• Working knowledge of Tableau
• Working knowledge of presentation software (e.g., Microsoft PowerPoint)
• Currently pursuing a Master’s degree in a quantitative field (Analytics, Finance, Information Systems, etc.)
• Excellent academic performance
• Working knowledge of Microsoft Excel and Power Point
• Experience in a modern scripting language (preferably Python)
• Experience running queries against data (preferably with Google BigQuery or SQL)
• Experience with data visualization software (preferably Tableau)
• Exposure to statistics, predictive modeling and other data science methodologies

Minimum Education:

• The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field of study related to the job.

Minimum Years of Work Experience:

• 0

Competencies:

• Action Oriented
• Nimble Learning
• Self-Development
• Collaborates
• Optimizes Work Processes
• Communicates Effectively
• Customer Focus
• Drives Results