Associate Data Scientist - Generative BI
About The Position
The Associate Data Scientist - Generative BI will drive business profitability and modernized analytics across Home Depot by configuring, tuning, and scaling our GenBI capabilities. Rather than building generative models from scratch, your day-to-day work focuses on practical AI enablement: translating user feedback and analytical friction into robust technical solutions. You will build and maintain rich semantic layers, curate golden SQL query examples to maximize context accuracy, establish automated regression testing pipelines to validate AI-generated answers, and integrate new enterprise data sources into a scalable multi-agent architecture. Success in this role requires a proactive problem-solver who can leverage every tool in the Databricks ecosystem to resolve data quality issues, troubleshoot integration risks, and adapt as underlying platform features evolve.
Requirements
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
- 0 years of work experience
Nice To Haves
- Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience.
- 3+ years of experience in business intelligence and analytics.
- Experience in a modern scripting language (preferably Python).
- Experience running queries against data (preferably with Google BigQuery or SQL).
- Experience with generative AI chatbots, large language models (LLM) or conversational analytics.
- Experience with the Databricks ecosystem.
- Experience utilizing statistical techniques, predictive modeling, data mining and data analysis to identify key insights that help solve business problems.
- Experience with GitHub Repositories and standard CICD practices.
- No additional education
- No additional years of experience
- None
Responsibilities
- Design and develop algorithms and models to use against large datasets to create business insights
- Supports data science projects by conducting effective analysis to solve business problems
- Executes tasks with high levels of efficiency and quality
- Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies
- Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
- Effectively communicate insights and recommendations to both technical and non-technical audience
- Support preparation of reports, updates and/or presentations related to progress made on a project or solution
- Highlights potential impacts of recommendations to drive alignment and appropriate implementation
- Keep up to date on industry trends, best practices and emerging methodologies
- Continually develop skills and expertise in data analytics concepts and methodologies
- Identify opportunities to apply learnings
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
