Senior Data Scientist: AI-Driven Store Ops Transformation

The Home Depot; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

The Home Depot is seeking a Senior Data Scientist to drive AI adoption across Store Operations, leading data science initiatives that improve profitability, efficiency, and customer experience. You will mentor data scientists, shape analytics infrastructure, and partner with leaders to translate insights into action.

Responsibilities cover solution development, project leadership, cross-functional collaboration, and ongoing technical exploration, with strong emphasis on communication, staffing

Qualifications

• PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
• 6+ years of experience in business intelligence and analytics
• Experience in developing/deploying agentic solutions (preferably Google ADK)
• Working knowledge of Microsoft Excel and Power Point
• Proficient in a modern scripting language (preferably Python)
• Proficient running queries against data (preferably with Google BigQuery or SQL)
• Proficient with data visualization software (preferably Tableau)
• Mastery utilizing statistical techniques to identify key insights that help solve business problems
• Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
• Demonstrated proficiency in predictive modeling, data mining and data analysis

Responsibilities

• 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
• 30% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team
• 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide 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; Actively seek out new business opportunities to leverage data science as a competitive advantage
• 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented

Skills

Python

SQL

Statistical analysis

Communication

Education

Bachelor's degree in related field

Tools

Google BigQuery

Tableau

Excel

PowerPoint

Job description

The Home Depot is seeking a Senior Data Scientist to drive AI adoption across Store Operations, leading data science initiatives that improve profitability, efficiency, and customer experience. You will mentor data scientists, shape analytics infrastructure, and partner with leaders to translate insights into action.

Responsibilities cover solution development, project leadership, cross-functional collaboration, and ongoing technical exploration, with strong emphasis on communication, staffing