Lead Data Scientist

Benefits

Join a leadership role that shapes Home Depot’s analytics capabilities and drives real business impact onsite in Atlanta. You will guide data science initiatives across multiple business units, own a library of reusable algorithms, and mentor a growing team. Expect collaboration with IT to maintain technical agility, opportunities to explore new tools, and a path to influence decision making at scale. The role also supports ongoing professional growth through conferences and published work, with a focus on creating codified, reusable solutions for future projects.

• Ownership of a library of reusable algorithms to support cross‑unit decision making
• Mentorship and coaching to elevate the technical competencies of junior team members
• Leadership of large and complex projects and teams with clear prioritization and quality standards
• Opportunities to advance prescriptive analytics capabilities and explore new tools with IT
• Engagement with business customers and cross‑functional partners to drive impactful outcomes
• Professional growth through conferences, published work, and technical education for the data science community

Responsibilities

• Design and develop algorithms and models for large datasets to extract actionable business insights
• Select, apply, and interpret advanced analytics methodologies appropriately
• Effectively communicate insights and recommendations to both technical and non-technical leaders and business partners
• Clearly convey the impact of recommendations to align and enable implementation
• Lead and manage large, complex projects and teams
• Provide prioritization guidance and ensure high quality deliverables
• Mentor and coach junior roles to support technical growth
• Collaborate with managers to distribute workload and resources
• Support recruiting and hiring efforts for the team
• Serve as a technical subject matter expert for one or more data science methods, both predictive and prescriptive
• Lead data science communities across several business units
• Leverage extensive business knowledge to inform solution approaches
• Build trust and collaboration with internal customers and cross‑functional teams
• Provide technical education on advanced analytics to the data science community
• Partner with IT to explore new tools and maintain agility for data science initiatives
• Actively seek new business opportunities to leverage data science as a competitive advantage
• Pursue ongoing knowledge by attending conferences and publishing papers
• Contribute to continuous improvement by codifying solutions, project documentation, and process flowcharts for future reuse
• Define best practices and a clear vision for data analysis and model productionization
• Own and document a library of reusable algorithms for future use
• Develop mastery in one or more prescriptive modeling techniques, such as optimization, computer vision, recommendation, search, or NLP

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 using statistical techniques to identify key insights that solve business problems

Technologies

• Python
• Google BigQuery
• SQL
• Tableau
• Microsoft Office Suite

Direct Manager / Direct Reports

• Typically reports to a manager or above
• No direct reports; primarily leads and manages projects

Travel Requirements

• Typically requires overnight travel less than 10% of the time

Physical Requirements

• Most of the time spent seated; frequent opportunities to move around
• Occasional need to move or lift light articles

Working Conditions

• Located in a comfortable indoor environment; unpleasant conditions are infrequent and not objectionable

Certifications

• None

Competencies

• Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
• Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
• 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 for diverse audiences
• Cultivates Innovation: Creating new and better ways for the organization to be successful
• Develops Talent: Developing people to meet both career goals and organizational goals
• Instills Trust: Gaining the confidence and trust of others through honesty and integrity
• Optimizes Work Processes: Driving efficient processes with a focus on continuous improvement
• Persuades: Gaining support and commitment from stakeholders
• Self-Development: Actively seeking growth through formal and informal channels
• Strategic Mindset: Translating future possibilities into breakthrough strategies
• Tech Savvy: Anticipating and adopting innovations in digital and technology applications