YOUR IMPACT

The primary purpose of the Lead Data Scientist is to lead the development of data science, machine learning (ML), and deep learning (DL) solutions to solve retail problems at scale. This position influences and leads a team of more junior data scientists in the development of automated self-service products and solutions for business partners to effectively interpret data and build data products for enterprise-wide initiatives. Finally, this position works independently to solve complex problems and provide a wide range of strategic and technical solutions that are ready for implementation.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field (or equivalent work experience in lieu of degree)
• 6 years of experience executing and deploying data science, ML, DL, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a master’s or doctorate degree)
• 6 years of SQL and programming experience (fewer years may be accepted with a master’s or doctorate degree)
• 6 years of experience working with cross-functional partners

PREFERRED SKILLS/EDUCATION

• Doctorate Degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field
• 4 years of experience using multiple data systems and sources

• Leads the full lifecycle of data science projects from inception to completion with full adherence to enterprise product and project management practices.
• Applies advanced data science, ML, and DL algorithms necessary to derive insights and develop solutions on enterprise scale providing a competitive advantage to the business.
• Prepares final recommendations through effective storytelling and actionable insights for the relevant stakeholders, including senior and executive leaders, ensuring solutions are implementable and scalable in the business.
• Maintains high-level knowledge on industry trends, emerging technologies, and their potential application in the home improvement domain.
• Leads, mentors, and inspires a team of data scientists, fostering a culture of continuous learning, collaboration, and innovation.
• Provides guidance to more junior level scientists to translate requirements into an analytical approach and plan resources accordingly.
• Collaborates and communicates with cross functional stakeholders to provide updates and manage scope of data science-oriented solutions and projects.