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With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Associate Data Scientist on the Customer Experience Economics team is responsible for supporting data science initiatives that drive business profitability, operational efficiencies, and an improved customer experience. Operating within Decision Analytics—an internal data science team embedded within Finance—this role enjoys a unique organizational vantage point, allowing the incumbent to partner across multiple business domains including Customer, Delivery, and broader Finance initiatives. This dynamic environment requires a highly curious, agile learner who can rapidly adapt to new business contexts and data landscapes. You'll work with other data scientists and business partners to solve real business problems and turn the results into insights that enable strategic decision-making for leadership. You'll also learn to tell the story behind the data and take ownership of your work, shaping it so it makes sense for a range of technical and leadership levels. Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 3+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience in predictive modeling, data mining and data analysis Experience with data visualization software (preferably Tableau) Experience utilizing statistical techniques to identify key insights that help solve business problems Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Basic knowledge or exposure to predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 0 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 3+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience in predictive modeling, data mining and data analysis Experience with data visualization software (preferably Tableau) Experience utilizing statistical techniques to identify key insights that help solve business problems Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Basic knowledge or exposure to predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 0 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Staff Systems Engineer is responsible for leading a team of engineers designing, building, and supporting The Home Depot's technical infrastructure of hardware and system software that drives the success of Home Depot and our customers. As a Staff Systems Engineer you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production infrastructure. Staff Systems Engineers contribute to foundational infrastructure as code elements that can be reused as well as architectural diagrams and other related documentation. Staff Systems Engineers participates in the selection and lead the implementation of physical and virtual infrastructure to meet evolving enterprise and product team needs. As a Staff Systems Engineer, you will be a core player that participates and leads multiple efforts simultaneously. You are expected to build and grow the skillsets of more junior Engineers on the team. Key Responsibilities: 25% Delivery and Execution - Leads configuration, debugging, and support for information technology solutions; Leads field and corporate rollouts of technology; Leads the stand up of necessary system software, hardware, and equipment (physical or virtual) to meet changing infrastructure needs; Creates and optimizes specifications for technology solutions; Produces and manages purchase requests for hardware and software; Leads development of test suites (functional, destructive, etc) to enable successful rapid deployment of infrastructure as code to production 15% Learning - Keeps abreast of innovations and industry trends as well as changes to internal systems and determines how they impacts tools, training, and support necessary to keep systems up, running, and secure; Participates in and contributes to learning activities around modern systems engineering core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations 30% Planning and Analysis - Researches and analyzes business trends and behavioral data to identify strategic opportunities for improvements and new initiatives; Leads the evaluation, development, and recommendation of specific strategic technology to provide cost-effective solutions that meet THD requirements; Researches and designs best fit infrastructure, network, database, cloud, AI, and security architectures for products; Proactively creates and maintains infrastructure as code and AI models for continuous improvement; Participates in strategic project planning and management across multiple efforts; Develops formal training courses 30% Support and Enablement - Collaborates with product and project teams to understand needs and enable them with infrastructure; Supports technology architecture design review efforts for project and product teams; Leverages tooling and custom applications to monitor the operational status of applications, infrastructure, networks, databases, and security; optimizes and tunes performance as appropriate; Drives root cause analysis, debugging, support, and post-mortem analysis for security incidents and service interruptions; Maintains, upgrades, and supports existing systems and infrastructure to ensure operational stability; Acts as a vendor liaison, owning resourcing, issue management, and documentation; Leads the production of in-house documentation around solutions; Provides application support for software running in production; Acts as a mentor to more junior Systems Engineers; Drives converting KB articles into AI models; Drives changes to analytic models used to analyze performance Direct Manager/Direct Reports: This position typically reports to Systems Engineer Manager or Sr Manager This position typically has 0 Direct Reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Experience in z/OS ISPF, JCL, JES2, etc. Experience in z/OS DB2 administration, working with DDL, DML, DCL, DB2 commands, and SQL. Experience in the DB2 Utilities (i.e., COPY, QUIESCE, REPAIR, REORG, LOAD, etc.) Understand RACF Security Monitor instances for events and resolutions/escalations. Perform triage and troubleshooting database issues in timely manner. Experience in DB2 SQL and Q Replication. Develop scripting to automate DB2 administration tasks. Comfortable in finding opportunities to improve availability, reliability, and performance of DB2 databases. Proficient in Incident, Problem, and Change Management REXX development language knowledge to simplify/automate database administration activities. Broadcom Detector and Subsystem Analyzer experience. DB2 for z/OS v12+ experience. DB2 expertise for performance tuning. Experience managing large tablespaces. Endevor experience. On-call rotation. Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented Being Resilient Business Insights Global Perspective Manages Ambiguity Nimble Learning Self-Development Collaborates Cultivates Innovation Optimizes Work Processes Situational Adaptability Communicates Effectively Drives Results Interpersonal Savvy For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $80,000.00 - $160,000.00

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Associate Data Scientist will work on the Pro Intelligence team, the analytics and data science engine behind The Home Depot's Pro business. Our team partners with Pro sales reps and the Pro Desk to turn data into insights and solutions that drive growth with our most valuable customers. Our team owns the core Pro models, dashboards and data solutions that leaders and teams across the enterprise rely on every day, so your work will have high visibility and business impact. In this role, you will work closely with the Pro Ops team to understand the business, translate their needs into analytical problems, and deliver data-driven solutions using advanced SQL, Tableau and other BI tools. You will maintain and build enterprise dashboards, answer questions from the users who depend on them, and provide insights that help Pro teams make better decisions. You will also grow into data science work alongside our Data Scientists, including predictive modeling and deployment with IT. Success requires strong business acumen, the ability to solve complex analytical problems, clear communication with technical and non-technical audiences, and a commitment to continuous learning. Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Bachelor's degree in a quantitative field (Analytics, Statistics, Math, Computer Science, Engineering, Economics, etc.); Master's degree or equivalent work experience preferred 3+ years of experience in business intelligence and analytics Strong proficiency in SQL, including writing complex queries and working with large datasets (preferably Google BigQuery) Advanced experience with Tableau or other BI tools, including building dashboards and self-service reporting that business partners actually use. Experience solving complex analytical problems and using statistical techniques to uncover insights and drive business decisions Strong communication and storytelling skills, with the ability to present findings and recommendations to senior business stakeholders Working knowledge of Microsoft Excel and PowerPoint Basic knowledge or exposure to Prescriptive Modeling Experience in a modern scripting language (preferably Python) Exposure to predictive modeling, including model building, validation and performance monitoring Exposure to model deployment or working with IT/engineering partners to productionize solutions (preferred) Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 0 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels