Drimva

The Home Depot

Associate Data Scientist - Generative BI

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

Experience
Minimum: 0 years. Preferred: 3+ years in business intelligence and analytics; no additional preferred years of work experience are specified.
Education
Bachelor's degree program or equivalent degree in a field of study related to the job. Preferred: Master's degree in a quantitative field or equivalent work experience.
Visa sponsorship
Must be legally permitted to work in the United States.

About the job

Configures and scales Generative BI capabilities by building semantic layers, curating SQL examples, testing AI-generated answers, and integrating enterprise data sources.

What you'll do

  • Develop and support data science solutions that analyze large datasets and solve business problems.
  • Communicate insights, recommendations, and project updates to technical and non-technical audiences.
  • Maintain GenBI infrastructure, including semantic layers, curated SQL examples, regression testing, and data-source integrations.

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 the knowledge, skills, and abilities typically acquired through completing such a program.

Nice to have

  • Master's degree in a quantitative field or equivalent work experience.
  • Experience with business intelligence and analytics, Python, SQL or Google BigQuery, generative AI/LLMs, Databricks, statistical modeling, or GitHub and CI/CD practices.

Tools

Databricks, Python, Google BigQuery, SQL, GitHub Repositories, CICD

AI focus

Practical GenAI enablement for conversational analytics: configure and scale GenBI, improve context accuracy with semantic layers and curated SQL examples, validate AI-generated answers, and integrate data into a multi-agent architecture.

Model-written summary · the original posting is authoritative

First seen Oct 14, 2026 · Last verified Nov 5, 2026 (UTC)