Lead Data Scientist, Assortment and Space Planning (AI-Engineering) jobs in United States
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The Home Depot · 1 week ago

Lead Data Scientist, Assortment and Space Planning (AI-Engineering)

The Home Depot is transforming how merchandising decisions are made through AI-powered solutions and automation. The Lead Data Scientist plays a key role in designing and building advanced AI systems that enable autonomous decision-making, collaborating with cross-functional teams to implement agentic AI initiatives and establish best practices for development and governance.

E-CommerceHome and GardenHome DecorHome ImprovementRetail
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H1B Sponsor Likelynote

Responsibilities

Utilize expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
Lead and manage large and complex projects and teams; 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; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive; Lead data science communities across several business units
Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide technical education on advanced analytics to data science community; Partner with IT to understand potential for new tools and ways to maintain technical agility for data science; Actively seek out new business opportunities to leverage data science as a competitive advantage
Seek further knowledge on key developments within data science by attending conferences and publishing papers; 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; Ownership of library of reusable algorithms for future use, ensure developed code/models are documented; Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search or NLP

Qualification

Predictive modelingData miningGenAI developmentLLM orchestration frameworksCloud computingPrompt engineeringContainerized environmentsVector databasesCollaboration with developersBusiness insightTalent developmentEffective communicationStrategic mindset

Required

Must be eighteen years of age or older
Must be legally permitted to work in the United States
Demonstrated expertise in predictive modeling, data mining and data analysis
Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems
10 years of work experience

Preferred

10+ years of combined AI engineering experience or equivalent in software engineering or ML engineering
2+ years of experience developing/deploying GenAI or LLM-driven automated systems, and Agentic AI evaluation frameworks at scale
Hands-on experience with LLM agent orchestration frameworks (LangGraph, LangChain etc.)
Strong understanding of structured agent interactions (eg., MCP and A2A)
Proven experience deploying models and APIs in containerized, cloud-neutral environments
Proficiency in prompt engineering, RAG implementation, and LLM fine tuning
Familiarity with agentic IDEs (eg., GitHub Copilot, Cursor, etc.)
Experience with GCP cloud computing platform
Practical knowledge of vector databases and exposure to knowledge graphs (e.g., Neo4j), embeddings, or multimodal data ingestion
Comfortable collaborating with front-end developers or building light UI prototypes (e.g., Streamlit, React)
Contributions to open-source AI/ML tooling or orchestration frameworks
Domain experience in merchandising, retail, ecommerce, or supply chain

Company

The Home Depot

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The Home Depot is a retailer of hardware, consumer goods, and DIY supplies both online and offline while providing home delivery services.

H1B Sponsorship

The Home Depot has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (67)
2023 (32)
2022 (66)
2021 (62)
2020 (33)

Funding

Current Stage
Late Stage
Total Funding
unknown
2007-07-31Debt Financing

Leadership Team

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Ted Decker
Chair, President and CEO
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Chip Devine
Senior Vice President
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Company data provided by crunchbase