The Home Depot
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Lead Data Scientist, Core AI
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The Home Depot Position Purpose We're looking for a Lead Data Scientist to help us build the next generation of shopping experience at The Home Depot. Our team is at the forefront of retail innovation, creating and deploying cutting-edge Generative AI applications for both internal and external customers, as well as building an AI knowledge foundation, backed by vector stores and knowledge graphs. The Lead Data Scientist will technically lead our team, driving data science initiatives that deliver significant business value and improved customer experiences. We need someone with a deep passion for cutting-edge technology and a profound expertise in language models (large and small). If you have that spark in your eye and a desire to reimagine retail in the era of AI, we want to talk to you. This isn't just a role; it's an opportunity to shape the future of retail. Your work will touch everything from product discovery and customer service to in-store operations, making a tangible difference in how millions of customers and associates interact with The Home Depot. As a Lead Data Scientist, you will own large-scale Gen AI projects, guiding the team on the best technologies and approaches. You will also serve as a technical mentor, helping to develop the skills of your fellow data scientists. This role is expected to build and maintain a library of reusable algorithms, ensuring our code is well-documented and production ready. You will also contribute to building a skilled and talented data science team by providing input on staffing needs and participating in the hiring process. Key Responsibilities
30% Solution Development - Utilize expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation 25% Project Management & Team Support - Lead and manage large and complex projects and teams; 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; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive; Lead data science communities across several business units 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide technical education on advanced analytics to data science community; Partner with IT to understand potential for new tools and ways to maintain technical agility for data science; Actively seek out new business opportunities to leverage data science as a competitive advantage 25% Technical Exploration & Development - Seek further knowledge on key developments within data science by attending conferences and publishing papers; 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; Ownership of library of reusable algorithms for future use, ensure developed code/models are documented; Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search or NLP Minimum Qualifications
Must be eighteen years of age or older. Must be legally permitted to work in the United States. Demonstrated expertise in predictive modeling, data mining and data analysis Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems Preferred Qualifications
A Ph.D. in a quantitative field, demonstrating a strong foundation in research and complex problem-solving. 10 years of experience in the data science field, with a proven track record of leading and delivering impactful projects, particularly in Gen AI and NLP. Hands-on experience with developing and deploying Gen AI applications, including building and optimizing large and small language models. Direct experience in creating and managing AI knowledge foundations, including practical applications of vector stores and knowledge graphs to enhance AI applications like chatbots. Proven ability to technically lead a team of data scientists, providing mentorship, guiding technical direction, and ensuring the development of production-ready, well-documented code. Experience working with cross-functional teams, including software engineers and Machine Learning Engineers (MLEs), to translate business needs into data science solutions that deliver significant business value and improve customer experience. The Home Depot is an Equal Opportunity Employer.
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Lead Data Scientist, Core AI
role at
The Home Depot Position Purpose We're looking for a Lead Data Scientist to help us build the next generation of shopping experience at The Home Depot. Our team is at the forefront of retail innovation, creating and deploying cutting-edge Generative AI applications for both internal and external customers, as well as building an AI knowledge foundation, backed by vector stores and knowledge graphs. The Lead Data Scientist will technically lead our team, driving data science initiatives that deliver significant business value and improved customer experiences. We need someone with a deep passion for cutting-edge technology and a profound expertise in language models (large and small). If you have that spark in your eye and a desire to reimagine retail in the era of AI, we want to talk to you. This isn't just a role; it's an opportunity to shape the future of retail. Your work will touch everything from product discovery and customer service to in-store operations, making a tangible difference in how millions of customers and associates interact with The Home Depot. As a Lead Data Scientist, you will own large-scale Gen AI projects, guiding the team on the best technologies and approaches. You will also serve as a technical mentor, helping to develop the skills of your fellow data scientists. This role is expected to build and maintain a library of reusable algorithms, ensuring our code is well-documented and production ready. You will also contribute to building a skilled and talented data science team by providing input on staffing needs and participating in the hiring process. Key Responsibilities
30% Solution Development - Utilize expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation 25% Project Management & Team Support - Lead and manage large and complex projects and teams; 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; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive; Lead data science communities across several business units 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide technical education on advanced analytics to data science community; Partner with IT to understand potential for new tools and ways to maintain technical agility for data science; Actively seek out new business opportunities to leverage data science as a competitive advantage 25% Technical Exploration & Development - Seek further knowledge on key developments within data science by attending conferences and publishing papers; 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; Ownership of library of reusable algorithms for future use, ensure developed code/models are documented; Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search or NLP Minimum Qualifications
Must be eighteen years of age or older. Must be legally permitted to work in the United States. Demonstrated expertise in predictive modeling, data mining and data analysis Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems Preferred Qualifications
A Ph.D. in a quantitative field, demonstrating a strong foundation in research and complex problem-solving. 10 years of experience in the data science field, with a proven track record of leading and delivering impactful projects, particularly in Gen AI and NLP. Hands-on experience with developing and deploying Gen AI applications, including building and optimizing large and small language models. Direct experience in creating and managing AI knowledge foundations, including practical applications of vector stores and knowledge graphs to enhance AI applications like chatbots. Proven ability to technically lead a team of data scientists, providing mentorship, guiding technical direction, and ensuring the development of production-ready, well-documented code. Experience working with cross-functional teams, including software engineers and Machine Learning Engineers (MLEs), to translate business needs into data science solutions that deliver significant business value and improve customer experience. The Home Depot is an Equal Opportunity Employer.
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