Data Science Manager – Space Intelligence

🕒 July 2

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The Home Depot

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

🏗️ Construction

📦 Logistics

🛒 Retail

💰 Debt Financing on 2007-07

Construction • Logistics • Retail

The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.

📋 Description

• Provide leadership, mentorship, and coaching to Data Scientists and evaluate performance. • Attract, retain, and develop top talent to build an effective and high-performing team. • Manage resources effectively to align with strategic initiatives and business needs. • Foster collaboration with team members. • Support team in the design and development of algorithms and models to create business insights. • Manage programs for the team to ensure consistency of execution. • Serve as escalation point for any issues or difficulties with specific projects. • Leverage extensive business knowledge and relationships to seek out new business opportunities. • Ensure alignment with IT support model, collaboration, tools and governance.

🎯 Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related technical field. • 7+ years of industry experience in data science, applied machine learning, or software engineering. • 2+ years in a people or technical leadership role. • Strong foundation in applied data science with experience building and maintaining production-grade software. • Hands-on experience developing AI-powered tools and platforms. • Proficiency in python and solid understanding of engineering best practices, including APIs, microservices, version control, CI/CD, testing and deployment. • Experience designing and operating large-scale data pipelines and distributed systems with AI/ML components, preferably on cloud platforms such as GCP and VertexAI. • Familiar with microservices architectures and deploying models and APIs in containerized, cloud-neutral environments. • Familiar with or contributed to AI agents or agentic applications. • Proven ability to translate complex business processes and strategy into scalable, maintainable architectures. • Domain experience in retail, merchandising, e-commerce, or supply chain, or familiarity in space intelligence concepts.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities