Sr. Data Scientist, Pro CX

Home Depot • Atlanta, GA

1d • Onsite

About The Position

The Senior Data Scientist will be a key architect in building next-generation agentic systems designed to revolutionize how professional customers manage complex projects. This role is responsible for developing autonomous AI capabilities that bridge the gap between simple search and sophisticated project quoting and fulfillment. You will leverage advanced techniques in Conversational AI, Retrieval-Augmented Generation (RAG), and Multimodal AI to unlock vast enterprise catalogs, automate project and product configuration, and provide real-time sourcing across a massive enterprise assortment. As a senior member of the team, you will design the reasoning paths that allow AI agents to navigate "Pro-speak" queries, extract intent from multimodal project inputs, and manage complex state across omnichannel sessions. Your work will directly empower Pro customers to move from discovery to optimized quoting to transaction in minutes, providing a seamless, self-serve experience at scale.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• AI Orchestration: 4+ years of experience in Data Science with a focus on Conversational AI, GenAI, agentic workflows, custom tool-calling, and reasoning traces (e.g., LangSmith).
• Advanced Retrieval: Mastery of RAG and vector database architectures, specifically for extracting technical specs from unstructured enterprise data.
• Multimodal AI: Experience building pipelines to extract structured SKU-level intent from unstructured multimodal inputs, such as photos or handwritten lists.
• Algorithmic Logic: Background in similarity scoring and attribute-matching to resolve vague technical queries.
• State & Engineering: Experience building stateful AI applications that maintain context across devices and sessions.
• Experience in a modern scripting language (preferably Python).
• Proficient running queries against data (preferably with Google BigQuery or SQL).
• 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.
• Working knowledge of Microsoft Excel and Power Point.
• 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

• Prior experience in B2B e-commerce, supply chain, or trade-related data is a significant plus.
• 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.
• Execute tasks with high levels of efficiency and quality.
• Make appropriate selection, utilization and interpretation of advanced analytical methodologies.
• Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners.
• 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.
• Work with project teams and business partners to determine project goals.
• Provide direction on prioritization of work and ensure quality of work.
• Provide mentoring and coaching to more junior roles to support their technical competencies.
• Collaborate with managers and team in the distribution of workload and resources.
• Support recruiting and hiring efforts for the team.
• Leverage extensive business knowledge into solution approach.
• Effectively develop trust and collaboration with internal customers and cross-functional teams.
• Provide general education on advanced analytics to technical and non-technical business partners.
• Deep understanding of IT needs for the team to be successful in tackling business problems.
• Actively seek out new business opportunities to leverage data science as a competitive advantage.
• 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.
• Define best practices and develop clear vision for data analysis and model productionalization.
• Contribute to library of reusable algorithms for future use, ensuring developed codes are documented.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior