Associate Data Scientist - Generative BI

The Home Depot•Atlanta, GA

10d

About The Position

The Associate Data Scientist - Generative BI drives business profitability and modernized analytics across The Home Depot by configuring, tuning, and scaling generative business intelligence capabilities. The role focuses on practical AI enablement rather than building generative models from scratch: turning user feedback and analytical friction into robust technical solutions. Work includes building and maintaining semantic layers, curating golden SQL query examples to improve context accuracy, establishing automated regression testing pipelines for AI-generated answers, and integrating enterprise data sources into a scalable multi-agent architecture. The position also involves resolving data quality issues, troubleshooting integration risks, and adapting as platform features evolve, using tools in the Databricks ecosystem. The role spends approximately 70% of its time on solution development, 20% communicating results, and 10% technical learning. It supports data science projects and business problem analysis, communicates insights and recommendations to technical and non-technical audiences, and keeps skills current with industry trends and emerging methodologies. No travel is required. The position reports to a manager or above and has no direct reports.

Requirements

Must be at least 18 years of age.
Must be legally permitted to work in the United States.
Bachelor's degree or equivalent in a field of study related to the job.
Ability to develop algorithms and models and analyze large datasets to produce business insights.
Ability to communicate effectively with technical and non-technical audiences.

Nice To Haves

Master's degree in a quantitative field such as Computer Science, Mathematics, or Statistics, or equivalent work experience.
Three or more years of experience in business intelligence and analytics.
Experience with a modern scripting language, preferably Python.
Experience querying data, preferably with Google BigQuery or SQL.
Experience with generative AI chatbots, large language models, or conversational analytics.
Experience with the Databricks ecosystem.
Experience using statistical techniques, predictive modeling, data mining, and data analysis to identify insights that solve business problems.
Experience with GitHub Repositories and standard CI/CD practices.

Responsibilities

Design and develop algorithms and models for large datasets to create business insights.
Support data science projects by conducting effective analysis to solve business problems.
Execute tasks efficiently and with high quality.
Consult with a Data Scientist or Senior Data Scientist on selecting, using, and interpreting advanced analytical methodologies.
Learn assigned business areas and incorporate business-specific knowledge into solutions.
Configure, tune, and scale generative BI capabilities.
Build and maintain semantic layers and curate golden SQL query examples to improve context accuracy.
Establish automated regression testing pipelines to validate AI-generated answers.
Integrate enterprise data sources into a scalable multi-agent architecture.
Resolve data quality issues and troubleshoot integration risks.
Communicate insights and recommendations to technical and non-technical audiences.
Support preparation of project progress reports, updates, and presentations.
Highlight potential impacts of recommendations to encourage alignment and appropriate implementation.
Keep up to date on industry trends, best practices, and emerging methodologies.
Continually develop data analytics skills and identify opportunities to apply new learnings.