Drimva

The Home Depot

Associate Data Scientist, Merchandise Execution Team (MET)

STORE SUPPORT CENTER, ATLANTA - 9090 · On-site · Full-time · Posted Oct 26, 2026

Experience
Preferred: 2+ years developing machine learning / AI models to solve business problems and 2+ years in business intelligence and analytics.
Education
Bachelor’s degree program or equivalent degree in a field of study related to the job. Preferred: Master’s in a quantitative field or equivalent work experience.
Visa sponsorship
Must be legally permitted to work in the United States.

About the job

Supports data science projects for Merchandise Execution Team operations by developing and deploying models and AI capabilities that improve profitability, workflows, efficiency, and store associate experience.

What you'll do

  • Design and develop algorithms and models using large datasets, and analyze business problems.
  • Communicate insights and recommendations to technical and non-technical audiences; support project reports and presentations.
  • Keep current with data science practices and develop technical and business expertise.

What they ask for

  • Must be at least 18 years old.
  • Must be legally permitted to work in the United States.
  • Bachelor’s degree or equivalent degree in a job-related field, or equivalent degree.

Nice to have

  • 2+ years developing machine learning / AI models to solve business problems; 2+ years in business intelligence and analytics.
  • Proficiency in a modern scripting language, querying data, visualization software, and statistical techniques; preferred tools include Python, Google BigQuery or SQL, and Tableau.

Tools

Python, Google BigQuery, SQL, Tableau, Microsoft Excel, Power Point

AI focus

Develops and deploys Agentic AI capabilities and data science models for MET operations; relevant areas include optimization, computer vision, Multimodal AI, Conversational AI, Information Retrieval, Generative AI, and search.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)