LEAD DATA SCIENTIST

Home Depot • Atlanta, GA

87d

About The Position

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. The Lead Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by applying expertise of both business and Advanced Analytics Modeling techniques. Lead Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Lead Data Scientist, you will be responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team. This role is expected to own the library of reusable algorithms for future use, ensuring developed codes are documented. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role leads data science communities across several business units.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Industry: Building Material and Garden Equipment and Supplies Dealers
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees