Sr Director, Data Science

Role Overview: As a member of the Data Science team at Lowes, your primary role will involve providing deep technical leadership in developing cutting-edge data science, machine learning, and deep learning solutions to address retail challenges at a massive scale. You will collaborate closely with engineering, product management, and business partner teams to deliver strategic and technical leadership, research, and production-ready implementations. Your focus will be on supporting various areas of the home improvement retail business, such as Supply Chain Data Science products, financial analytics, inventory optimization, and generative AI solutions. Key Responsibilities: - Effectively manage a highly qualified team of data scientists, including directors and managers, to drive impactful outcomes. - Anticipate future business needs, implement strategic frameworks, and develop staff accordingly in a dynamic and ambiguous environment. - Translate business challenges into project ideas, manage data science projects, and collaborate with engineering leadership to deploy models at scale. - Build, coach, and mentor a strong team of Data Science professionals with varying levels of expertise and develop future leaders within the organization. - Collaborate with cross-functional groups, stakeholders, and leadership to deliver actionable insights and AI-enabled products to enhance store operations, safety, product data quality, and customer shopping experience. - Stay updated on industry trends and emerging technologies, managing research initiatives to explore their potential applications in the home improvement domain. - Partner with Product, Engineering, Business, and Operations leadership to influence decision-making, drive prioritization, and formulate roadmaps. - Provide input for departmental budget and forecasting, and manage expenses associated with initiatives within your scope of responsibility. Qualifications Required: - Bachelor's degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience) - Doctorate Degree (Preferred) in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field - 15 years of experience in applied advanced analytics (fewer years may be accepted with a Masters or Doctorate degree) - 5 years of leadership experience with direct report responsibility - 8 years of experience with advanced data modeling techniques - 12 years of experience in applied advanced analytics (Note: The additional details about Lowes as a company have been omitted as per the provided instructions.),