Hiring: Senior Data Scientist Company: The Home Depot Location: Atlanta, GA Job Posted Time: 2026-09-16 17:45:54 Employment Type: Full-time Target Skills & Keywords: Data Science, Agentic AI, MLOps, LLMOps, AIOps, Machine Learning, Large Language Models (LLMs), Retrieval Systems, AI Services, Software Engineering, Model Lifecycle Automation, Observability, Governance, Enterprise Data, Decision Intelligence, Python, Algorithms, Advanced Analytics Experience: - Proven experience designing and developing algorithms and models against large datasets to create business insights - Experience executing tasks with high levels of efficiency and quality - Experience with appropriate selection, utilization, and interpretation of advanced analytical methodologies - Experience communicating insights and recommendations to both technical and non-technical leaders and business customers/partners - Experience preparing reports, updates, and/or presentations related to project or solution progress - Experience working with project teams and business partners to determine project goals - Experience providing direction on prioritization of work and ensuring quality of work - Experience mentoring and coaching more junior roles to support their technical competencies - Experience collaborating with managers and team in the distribution of workload and resources - Experience supporting recruiting and hiring efforts for the team - Experience leveraging extensive business knowledge into solution approach - Experience developing trust and collaboration with internal customers and cross-functional teams - Experience providing general education on advanced analytics to technical and non-technical business partners - Deep understanding of IT needs for the team to be successful in tackling business problems - Experience actively seeking out new business opportunities to leverage data science as a competitive advantage - Experience seeking further knowledge on key developments within data science, technical skill sets, and additional data sources - Experience participating in the continuous improvement of data science and analytics by developing replicable solutions (e.g., codified data products, project documentation, process flowcharts) - Experience defining best practices and developing clear vision for data analysis and model productionalization - Experience contributing to library of reusable algorithms for future use, ensuring developed codes are documented Required Skills: - Proficiency in designing and developing algorithms and models for large datasets - Strong understanding of advanced analytical methodologies - Expertise in Agentic AI, MLOps, LLMOps, and AIOps - Experience building agentic solutions that reason over enterprise data and orchestrate core data science models into production workflows - Knowledge of foundational models, retrieval systems, and reusable AI services - Software engineering discipline and operational rigor - Ability to automate model and agent lifecycles - Experience embedding observability and governance - Ability to orchestrate tools, APIs, and retrieval systems for enterprise decision intelligence - Excellent communication skills for both technical and non-technical audiences - Project management skills - Mentoring and coaching abilities - Business collaboration and trust-building skills - Continuous learning and development mindset Qualifications: - Bachelor's degree or equivalent experience in a related field (e.g., Data Science, Computer Science, Statistics, Mathematics) - Experience in data science, machine learning, or related field - Experience with Agentic AI, MLOps, LLMOps, and AIOps - Experience with production-grade AI solutions - Experience working with enterprise data - Experience in retail or merchandising domain is a plus Compensation: - Not specified in the provided job text Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!