Data Science PhD Internship (Remote – Summer 2024)

Key Skills

Data Analytics, Data science techniques, Effective communication skills, Finance, Google BigQuery, Microsoft Office suites, Python Programming, SQL

Job Description

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 reports 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

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:

• 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.

Preferred Education: No additional education

Minimum Years of Work Experience:0

Preferred Years of Work Experience:No additional years of experience

Minimum Leadership Experience:NonePreferred Leadership Experience:None

Certifications:None

Competencies:

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

Pay Range

For California, Colorado, Connecticut, Rhode Island, Nevada, New York, and Washington residents:

The pay range for this position is between $50-50.

Starting wage may vary based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience. The Home Depot offers additional competitive and non-financial benefits, which may include a performance-based bonus program or a profit sharing program depending on position.