Data Scientist - GenBI

Home Depot•Atlanta, GA

About The Position

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
4+ years of experience in business intelligence and analytics
Working knowledge of Microsoft Excel and Power Point
Experience in a modern scripting language (preferably Python)
Proficient running queries against data (preferably with Google BigQuery or SQL)
Proficient with data visualization software (preferably Tableau)
Proficient utilizing statistical techniques to identify key insights that help solve business problems
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
Demonstrated experience in predictive modeling, data mining and data analysis
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.

Nice To Haves

Strong background in Business Intelligence (BI) and semantic layers.
Experience building, deploying, or working with AI agents and multi-agent architectures.
Hands-on experience with Databricks is a strong plus.

Responsibilities

Solution Development - Design and develop algorithms and models to use against large datasets to create business insights
Participates in large data analytics project teams by serving as a technical lead for analytics projects
May lead small projects and work independently on solution development
Execute tasks with high levels of efficiency and quality
Make appropriate selection, utilization and interpretation of advanced analytical methodologies
Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners
Present recommendations in a confident manner in order to influence execution of recommendation
Prepare reports, updates and/or presentations related to progress made on a project or solution
Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
Business Collaboration - Incorporate business knowledge into solution approach
Effectively develop trust and collaboration with internal customers and cross-functional teams
Work with project teams and business partners to determine project goals
Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources
Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects
Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented