Data Scientist - Space Intelligence

About the role

The Home Depot is transforming merchandising decisions with AI-powered solutions and automation. This Data Scientist builds scalable deep learning, computer vision, knowledge graph and agentic AI solutions in production that solve complex, high-value business problems. The role covers the full AI lifecycle, from framing business problems to deployment and ongoing monitoring, and works closely with product managers, software engineers and business stakeholders.

Key responsibilities

• Design and develop algorithms and models on large datasets to create business insights, acting as technical lead on analytics projects and leading small projects independently
• Communicate insights and recommendations clearly to technical and non-technical leaders and partners, presenting them confidently and preparing reports and presentations
• Incorporate business knowledge, build trust with internal customers and cross-functional teams, and help define project goals
• Keep up with data science developments, document work and build a library of reusable, documented algorithms

Required profile

• Age 18 or older and legally permitted to work in the United States
• Bachelor's degree or equivalent in a quantitative field (preferred: Master's in Computer Science, Math, Statistics, Data Science, Analytics, Engineering or another quantitative field)
• 4+ years of hands-on experience developing and deploying machine learning or deep learning models into production, integrated into scalable data pipelines and decision systems (e.g. via APIs, microservices or batch pipelines)
• Strong experience with computer vision techniques (object detection, image segmentation, OCR) and with GenAI, LLMs and agentic frameworks (LangChain, LangGraph), including multi-agent orchestration and RAG pipelines
• Understanding of knowledge graph construction and reasoning (graph embeddings, GNNs) and experience with graph databases and query languages
• Experience deploying ML/AI workloads on modern cloud platforms (GCP, AWS) using cloud-native services (Vertex AI, Kubernetes)

Required skills

• Deep learning frameworks such as PyTorch and TensorFlow
• Modern programming languages such as Python
• Familiarity with optimization solvers (Gurobi, CPLEX, OR-Tools)
• Comfortable collaborating with front-end developers or building light UI prototypes (Streamlit, React)