Data Science & Analytics Internship: Real-World Projects

Home Depot

Atlanta (GA)

On-site

USD 18,000 - 23,000

Full time

14 days+

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Benefits offered by this job

Housing assistance

Job summary

The Home Depot Data Science & Analytics Internship offers college students the chance to develop advanced data science skills while supporting the company’s strategic objectives. Interns are assigned to projects in Services, e‑Commerce, Merchandising, Operations or Finance during an 11‑week period from May 17 to July 30, 2027, with hands‑on work and leadership exposure.

Interns collaborate across teams, present findings to leadership, and learn to translate business questions into actionable

Qualifications

  • Working knowledge of Microsoft Office Suite.
  • Working knowledge of Tableau.
  • Working knowledge of presentation software (e.g., Microsoft PowerPoint).
  • Excellent academic performance.
  • Experience in a modern scripting language (preferably Python).
  • Experience running queries against data (preferably with Google BigQuery or SQL).
  • Exposure to statistics, predictive modeling and other data science methodologies.
  • Preferred GPA 3.0 or above.

Responsibilities

  • 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.
  • 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.
  • Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high quality analytics solutions.
  • Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python.

Job description

The Home Depot Data Science & Analytics Internship offers college students the chance to develop advanced data science skills while supporting the company’s strategic objectives. Interns are assigned to projects in Services, e‑Commerce, Merchandising, Operations or Finance during an 11‑week period from May 17 to July 30, 2027, with hands‑on work and leadership exposure.

Interns collaborate across teams, present findings to leadership, and learn to translate business questions into actionable

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