Drimva

The Home Depot

Lead Data Scientist- Pro

PENNANT PARK, ATLANTA - 9141 · On-site · Full-time · Posted Sep 18, 2026

Experience
10 years minimum; preferred qualifications state 10+ years in business intelligence, advanced analytics, and/or AI/ML fields.
Education
Bachelor's degree or equivalent degree in a field of study related to the job; a master's in a quantitative field or equivalent work experience is preferred.
Visa sponsorship
Must be legally permitted to work in the United States.

About the job

Leads large data science projects, developing and operationalizing analytical models and reusable algorithms to improve business profitability, efficiency, and customer experience while mentoring teams and partnering with business units.

What you'll do

  • Design and develop models and algorithms, communicate insights, and guide implementation.
  • Manage complex projects, mentor data scientists, and contribute to recruiting and team priorities.
  • Build reusable, documented solutions and define best practices for model production and data science collaboration.

What they ask for

  • Demonstrated expertise in advanced analytic modeling, statistics, or BI, preferably in retail.
  • Bachelor's degree or equivalent degree in a job-related field.
  • Must be at least 18 and legally permitted to work in the United States.

Nice to have

  • Experience with scalable data pipelines, scripting (preferably Python), SQL/BQ, and visualization (preferably tableau).
  • Experience with AI agents, LLM orchestration, RAG, prompt engineering, model evaluation, and Google Gemini ADK or copilot.

Tools

Python, SQL/BQ, tableau, Google Gemini ADK, copilot, LLM orchestration frameworks, Retrieval-Augmented Generation (RAG)

AI focus

Advanced analytics and AI/ML, including predictive and prescriptive modeling; preferred work includes autonomous AI agents or multi-agent systems, RAG, prompt engineering, tool/function calling, and evaluating and monitoring generative AI models and agents.

Model-written summary · the original posting is authoritative

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