The Home Depot is seeking a Senior Data Scientist for pricing and demand forecasting. The role requires proficiency in deep learning and time series forecasting, development of algorithms and models on large datasets, collaboration with cross-functional partners, project leadership, mentoring, and communicating results to technical and non-technical stakeholders. Minimum 5 years' experience; pay range $90,000–$190,000/year.

The Sr. Machine Learning Engineer will collaborate with product teams to design, develop, deploy, and monitor production AI/ML solutions, including LLM-powered applications, RAG systems, knowledge graphs, scalable data pipelines, and MLOps practices. Preferred experience includes Python, PyTorch/TensorFlow, GCP (Vertex AI, BigQuery), vector databases, model serving, CI/CD, and production monitoring. Role typically reports to a Software Engineering Manager and may require 5–20% overnight travel. A pay range of $100,000–$180,000/year is listed for certain U.S. residents in the posting.

Senior AI Engineer responsible for translating AI concepts into enterprise-ready products: developing scalable LLM/agent-based applications, orchestration layers, and cloud-native MLOps (Docker, Kubernetes/GKE, Terraform, CI/CD). Requires 6+ years experience, strong Python and production AI delivery skills. Role is remote with requirement to be legally permitted to work in the United States; travel typically 5–20%.

Lead principal-level architect for The Home Depot's Mobile App Renovation Strategy (MARS), defining a modular, high-performance mobile ecosystem and driving AI-first development. Responsibilities include cross-functional platform leadership, POC development, architecture for Kotlin Multiplatform, SDUI, GraphQL, and backend systems, mentoring engineers, and acting as an escalation point. Requires 7+ years relevant experience and authorization to work in the United States.

The Home Depot's BlackLocus team seeks a Senior Data Scientist to design and deploy algorithms and scalable systems for competitive intelligence, product matching, pricing automation and GenAI-driven insights. Role emphasizes Python/SQL, predictive analytics, causal inference, ML model development/deployment, cloud AI platforms and cross-functional communication. Listed pay range: $90,000–$190,000 per year.

Join the DIG team to design, build, and modernize backend, data processing, and ML systems that power product recommendations and discovery. Responsibilities include developing, testing, deploying, and maintaining software; integrating LLMs and agentic workflows; system design and mentorship. Preferred experience with GCP (BigQuery, Dataflow, Vertex AI), TensorFlow/PyTorch/scikit-learn, microservices (REST/gRPC), distributed systems, and MLOps. Minimum 3 years' work experience; must be legally permitted to work in the United States.

Software Engineer II (remote) responsible for designing, developing, deploying, and supporting production applications with emphasis on ML/AI solutions. Requires experience with Python and at least one OOP language, ML frameworks (e.g., PyTorch, TensorFlow), SQL/NoSQL databases, cloud platforms (Azure/AWS/GCP), CI/CD and DevOps practices, microservices/APIs, testing, monitoring, and related engineering practices. Minimum 2 years' experience. Salary range (for listed locations) $90,000–$170,000/year.

The Home Depot is hiring a Senior Software Engineer for Applied AI Acceleration to design, build, and scale enterprise-grade multi-agent AI systems and orchestration layers for marketing operations. Responsibilities include industrializing AI use cases, implementing model governance and observability, building RAG/vector DB solutions, integrating AI agents with MarTech/data systems, and mentoring engineers. Minimum 3 years' relevant experience. Travel: none. Posted pay range (for listed US locales) $80,000–$180,000 per year.

The Data Scientist will develop algorithms and ML models (including NLP, LLMs, recommendation systems, and agentic workflows) to generate people-related business insights, own the end-to-end MLOps lifecycle, and deploy production models. The role requires collaboration with IT and business partners, presenting results to non-technical stakeholders, and maintaining reusable, version-controlled code and documentation. Minimum 3 years of data science experience is required; proficiency in Python, SQL/BigQuery, Git, and tools such as Tableau, Kubeflow or MLflow is preferred.