AI-Powered Data Scientist, Space Intelligence

The Home Depot; Atlanta (GA); On-site; USD 125,000 - 160,000; Full time

Job summary

The Home Depot is seeking a Data Scientist to drive AI-powered merchandising solutions from problem framing to production deployment. You will build scalable deep learning, computer vision, knowledge graph, and agentic AI systems that improve decision making and customer experience across retail operations.

You will collaborate with product managers, software engineers, and business stakeholders, translating insights into production-ready models and data products.

Qualifications

• Masters preferred in a quantitative field (CS, Math, Stats, Data Science, Analytics, Engineering) or related.
• 4+ years of hands-on ML/DL production deployment, scalable data pipelines and decision systems.
• Proficient in PyTorch/TensorFlow and Python.
• Experience with CV techniques (object detection, segmentation, OCR).
• Experience with GenAI/LLMs and agentic frameworks (LangChain, LangGraph).
• Knowledge graphs and graph databases; graph embeddings, GNNs.
• Cloud ecosystems (GCP, AWS) and deploying ML workloads (Vertex AI, Kubernetes).
• Familiarity with optimization solvers (Gurobi, OR-Tools).
• Frontend prototyping (Streamlit, React) beneficial.
• Experience applying AI to retail, merchandising, supply chain.

Responsibilities

• 55% Solution development: design models on large datasets and lead analytics projects.
• 20% Communicating results: present insights to technical and non-technical audiences.
• 10% Business collaboration: align with internal customers and cross-functional teams.
• 15% Technical exploration & development: pursue new developments and build reusable algorithms

Skills

Deep learning

Computer vision

GenAI/LLMs

Graph knowledge

Cloud deployment

Python

LangChain

Data pipelines

MLOps

Communication

Team collaboration

Education

Bachelor's degree

Tools

Python

Job description

The Home Depot is seeking a Data Scientist to drive AI-powered merchandising solutions from problem framing to production deployment. You will build scalable deep learning, computer vision, knowledge graph, and agentic AI systems that improve decision making and customer experience across retail operations.

You will collaborate with product managers, software engineers, and business stakeholders, translating insights into production-ready models and data products.