Senior Data Scientist: AI Agents & MLOps Lead

Home Depot / THD; Atlanta (GA); On-site; USD 130,000 - 190,000; Full time

Job summary

The Home Depot's THD data science team is seeking a Senior Data Scientist to build production-ready AI capabilities and establish MLOps/LLMOps/AIOps frameworks that connect enterprise data to real workflows in Atlanta.

You will own solution development across analytics, design models, and translate results into actionable guidance for technical and non-technical leaders, while mentoring teammates and helping recruit talent.

Qualifications

• Minimum 6+ years of experience in data science, machine learning engineering, AI engineering, software engineering, or MLOps, focused on production-ready AI solutions
• 2+ years of hands‑on experience developing, deploying, evaluating, or supporting GenAI, LLM‑based, or agentic AI solutions
• Experience building agentic AI systems and multi‑step workflows using tool calling, reasoning and planning, state and memory management, structured outputs, RAG/retrieval systems, embeddings, and API integration
• Strong software engineering skills: Python, SQL, automated testing, containerization (Docker/Kubernetes), and cloud deployment (GCP preferred), with collaboration across Engineering, DevOps, and SRE partners
• Expertise in foundational MLOps/LLMOps/AIOps practices: CI/CD automation, model/agent registries, versioning, automated testing, monitoring, automated retraining, rollback strategies, release management, and production support
• Expertise in AI observability and governance: tracing, telemetry, automated alerting, anomaly detection, incident triage, eval harnesses, safety guardrails, model explainability, approval paths, fallback mechanisms, tool‑use auditing, and cost/latency monitoring, including human‑in‑the‑loop controls
• Hands‑on experience with agent orchestration frameworks, structured agent communication protocols (MCP, A2A), and Infrastructure‑as‑Code (IaC)
• Ability to prototype lightweight tools or interfaces, evaluate technical feasibility, and document reusable architectural patterns
• Continuous learning agility for emerging AI architectures, protocols, and operating models
• Domain experience in merchandising, retail, ecommerce, supply chain, assortment planning, or space planning

Responsibilities

• Design and develop algorithms and models that generate business insights from large datasets
• Apply advanced analytical methodologies, including appropriate selection, utilization, and interpretation
• Communicate insights and recommendation impacts to drive alignment and implementation
• Prepare reports, updates, and presentations on progress for projects and solutions
• Mentor and coach more junior roles to strengthen technical competencies
• Collaborate with managers and teams on distribution of workload and resources
• Support recruiting and hiring efforts for the team
• Leverage business knowledge to shape the solution approach
• Develop trust and collaboration with internal customers and cross-functional teams
• Educate technical and non-technical partners on advanced analytics
• Apply a deep understanding of IT needs to help the team tackle business problems
• Actively pursue new business opportunities where data science can drive competitive advantage
• Stay current on key data science developments, technical skill sets, and additional data sources
• Improve data science and analytics through replicable solutions for future reuse
• Define best practices and develop a clear vision for productionalization
• Contribute to a library of reusable algorithms with documented code

Skills

Python

SQL

Docker

Kubernetes

GCP

CI/CD

RAG

Embeddings

API integration

MLOps

LLMOps

AIOps

IaC

MCP

A2A

Agentic AI

Education

Bachelor’s degree or higher in a related field

Tools

Python

SQL

Docker

Kubernetes

GCP

CI/CD

MLOps

LLMOps

AIOps

IaC

MCP

A2A

Embeddings

RAG

API integration

Job description

The Home Depot's THD data science team is seeking a Senior Data Scientist to build production-ready AI capabilities and establish MLOps/LLMOps/AIOps frameworks that connect enterprise data to real workflows in Atlanta.

You will own solution development across analytics, design models, and translate results into actionable guidance for technical and non-technical leaders, while mentoring teammates and helping recruit talent.