Data Scientist: Vision & GenAI in Retail Production

Home Depot; Atlanta (GA); On-site; USD 130,000 - 170,000; Full time

Job summary

The Home Depot is transforming merchandising decisions with AI-powered solutions. This Data Scientist will build scalable deep learning, computer vision, and agentic AI systems in production, partnering with product managers and engineers to turn complex business problems into reliable decision systems.

Responsibilities include designing algorithms for large datasets, communicating insights to stakeholders, collaborating across teams, and continuously advancing data science capabilities in a

Qualifications

• Masters in quantitative field (CS/Math/DS/Analytics/Engineering)
• 4+ years deploying ML/DL models to production, scalable pipelines and APIs
• Proficient in PyTorch or TensorFlow and Python for prototyping and production

Responsibilities

• Design and develop ML/DL models for large datasets to generate business insights
• Communicate results to technical and non-technical stakeholders with clear impact
• Collaborate with product managers and engineers to deploy solutions
• Continuously explore new data science techniques and maintain reusable code libraries

Skills

Masters in quantitative field

ML in production

Python

DL frameworks

Communication of insights

CV/vision

GenAI/LLMs

Graph knowledge & reasoning

Cloud deployment

Optimization solvers

UI prototyping

Education

Bachelor's degree

Master's degree

Tools

PyTorch

TensorFlow

Kubernetes

Vertex AI

LangChain

LangGraph

Gurobi

CPLEX

OR-Tools

Streamlit

Job description

The Home Depot is transforming merchandising decisions with AI-powered solutions. This Data Scientist will build scalable deep learning, computer vision, and agentic AI systems in production, partnering with product managers and engineers to turn complex business problems into reliable decision systems.

Responsibilities include designing algorithms for large datasets, communicating insights to stakeholders, collaborating across teams, and continuously advancing data science capabilities in a