Senior Data Scientist - Generative BI

The Home Depot•Atlanta, GA

10d

About The Position

The Senior 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: translating user feedback and analytical friction into robust technical solutions. Responsibilities include 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 requires solving data quality issues, troubleshooting integration risks, and adapting to changes in platform features, including across the Databricks ecosystem. The role designs and develops analytical algorithms and models for large datasets, communicates insights and recommendations, supports project planning and prioritization, mentors junior colleagues, collaborates with business partners, and develops reusable and documented data science solutions and best practices. It reports to a manager or above and has no direct reports. Overnight travel is typically less than 10% of the time.

Requirements

Must be at least 18 years of age.
Must be legally permitted to work in the United States.
At least 5 years of work experience.
A bachelor's degree or equivalent in a field of study related to the job.
Experience in business intelligence and analytics.
Experience with a modern scripting language, preferably Python.
Experience running data queries, preferably with Google BigQuery or SQL.
Experience with generative AI chatbots, large language models, or conversational analytics.
Experience with statistical techniques, predictive modeling, data mining, and data analysis to identify insights that help solve business problems.

Nice To Haves

PhD in a quantitative field such as computer science, mathematics, or statistics.
Six or more years of experience in business intelligence and analytics.
Experience with the Databricks ecosystem.
Experience with GitHub Repositories and standard CI/CD practices.

Responsibilities

Design and develop algorithms and models for large datasets to create business insights.
Execute work efficiently and with high quality, selecting and applying appropriate advanced analytical methodologies.
Communicate insights, recommendations, and their impacts to technical and non-technical leaders, business customers, and partners.
Prepare project or solution progress reports, updates, and presentations.
Work with project teams and business partners to determine project goals.
Guide prioritization and ensure the quality of work.
Mentor and coach junior employees to support their technical development.
Collaborate with managers and the team to distribute workload and resources.
Support recruiting and hiring efforts.
Apply business knowledge to solution design and build collaboration with internal customers and cross-functional teams.
Educate technical and non-technical business partners on advanced analytics.
Understand team IT needs and seek business opportunities where data science can provide a competitive advantage.
Stay informed about developments in data science, technical skills, and data sources.
Develop replicable solutions, including codified data products, project documentation, and process flowcharts.
Define best practices and a vision for data analysis and model productionalization.
Contribute documented code and reusable algorithms for future projects.
Configure, tune, and scale generative BI capabilities; maintain semantic layers and curate SQL examples.
Develop automated regression testing pipelines to validate AI-generated answers and integrate enterprise data sources into a multi-agent architecture.
Use tools in the Databricks ecosystem to address data quality issues, integration risks, and platform changes.