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Manager, Data Science (Marketing)

The Home Depot
Full-time
On-site
United States
🌐 Digital Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Manager, Data Science (Marketing)

πŸ”Ή Company: The Home Depot

πŸ”Ή Location: STORE SUPPORT CENTER, ATLANTA - 9090

πŸ”Ή Job Type: Full-Time

πŸ”Ή Category: Data Science & Analytics

πŸ”Ή Date Posted: July 18, 2025

πŸ”Ή Experience Level: 10+ years

πŸ”Ή Remote Status: On-site

πŸš€ Job Overview

Key aspects of this role include:

  • Leading a team of data scientists to drive business profitability and improve customer experience
  • Managing projects and resources to align with strategic initiatives and business needs
  • Collaborating with business partners and other data science managers to establish high-level strategy and optimize talent management
  • Developing and delivering executive summaries to leaders at all levels of the organization
  • Mentoring and coaching team members to build an effective and high-performing team

ASSUMPTION: This role requires a strong balance of leadership, project management, and technical skills. The ideal candidate will have experience in people management, project management, and data science.

πŸ“‹ Key Responsibilities

βœ… People Management & Team Leadership: Provide leadership, mentorship, and coaching to data scientists; evaluate performance; attract, retain, and develop top talent; manage resources effectively; foster collaboration and engagement within the team

βœ… Project Management: Prioritize and assign projects; manage programs to ensure consistency of execution, balance of resources, and quality solutions; collaborate with program managers and business partners; serve as an escalation point for project issues; provide executive updates on program effectiveness and team accomplishments

βœ… Strategy & Business Development: Leverage business knowledge and relationships to seek out new business opportunities; collaborate with internal customers and cross-functional teams; ensure alignment with IT support model, tools, and governance

βœ… Technical Exploration & Development: Seek further knowledge on key developments within data science; participate in continuous improvement of data science and analytics; ensure best practices and vision for data analysis and model productionalization

ASSUMPTION: This role requires a strong understanding of data science techniques and tools, as well as the ability to manage projects and teams effectively.

🎯 Required Qualifications

Education: Bachelor's degree in a related field or equivalent degree

Experience: 9+ years of experience in business intelligence and analytics

Required Skills:

  • Proficient in predictive modeling, data mining, and data analysis
  • Mastery running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Mastery utilizing statistical techniques to identify key insights that help solve business problems
  • Proficient in prescriptive modeling like optimization, computer vision, recommendation, search, or NLP

Preferred Skills:

  • Previous people or project team management experience
  • Experience managing and growing team members in a professional setting

ASSUMPTION: While not explicitly stated, it is assumed that candidates should have strong communication, leadership, and project management skills to be successful in this role.

πŸ’° Compensation & Benefits

Salary Range: The salary range for this position is estimated to be between $120,000 and $160,000 per year, based on industry standards for a Data Science Manager role with 9+ years of experience in the retail industry.

Benefits:

  • Health, dental, and vision insurance
  • 401(k) plan with company match
  • Employee discount on Home Depot products
  • Tuition reimbursement
  • Paid time off and holidays

Working Hours: Full-time, typically Monday through Friday, with occasional overtime or weekend work as needed

ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and qualifications.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: The Home Depot operates in the retail industry, specifically focusing on home improvement and customer service. The company is the world's largest home improvement specialty retailer, with over 2,300 retail stores across multiple countries.

Company Size: The Home Depot has 10,001+ employees, making it a large organization with extensive resources and opportunities for career growth.

Founded: The Home Depot was founded in 1979 and has since grown to become a Fortune 500 company.

Company Description:

  • The Home Depot is committed to providing exceptional customer service and a wide assortment of high-quality home improvement products.
  • The company values and rewards dedicated, knowledgeable, and experienced professionals.
  • The Home Depot offers opportunities for career advancement and professional development.

Company Specialties:

  • Retail
  • Home improvement
  • Customer service

Company Website: http://www.careers.homedepot.com

ASSUMPTION: The Home Depot's large size and extensive resources provide ample opportunities for career growth and development within the data science field.

πŸ“Š Role Analysis

Career Level: This role is at the manager level, requiring significant experience in data science and leadership skills to manage a team of data scientists.

Reporting Structure: The Data Science Manager reports to a Senior Manager or above and has direct reports, managing programs and projects.

Work Arrangement: This role is on-site, with occasional overnight travel required (5% to 20% of the time).

Growth Opportunities:

  • Advancement to senior management or director-level positions within the data science department
  • Expansion of responsibilities to include additional teams or business areas
  • Opportunities to work on high-impact projects and drive strategic initiatives

ASSUMPTION: Given The Home Depot's large size and extensive resources, there are ample opportunities for career growth and development within the data science field.

🌍 Location & Work Environment

Office Type: The Home Depot's headquarters is located in Atlanta, Georgia, with additional offices in Austin, Texas, and other locations.

Office Location(s): 2455 Paces Ferry Road, Atlanta, Georgia 30339, US; 1300 Park Center Drive, Austin, TX 78753, US; 2455 Paces Ferry Rd SE, Atlanta, GA 30339, US

Geographic Context:

  • The Atlanta metropolitan area offers a diverse range of cultural attractions, entertainment options, and outdoor recreation opportunities.
  • The cost of living in Atlanta is relatively affordable compared to other major metropolitan areas in the United States.
  • Atlanta has a humid subtropical climate, with mild winters and hot, humid summers.

Work Schedule: Full-time, typically Monday through Friday, with occasional overtime or weekend work as needed

ASSUMPTION: The Home Depot's headquarters in Atlanta offers a dynamic and engaging work environment, with ample opportunities for professional growth and development.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application and resume screening
  • Phone or video screen with a member of the HR team
  • On-site or virtual interview with the hiring manager and team members
  • Final interview with senior leadership

Key Assessment Areas:

  • Technical skills in data science and analytics
  • Leadership and management skills
  • Problem-solving and critical thinking abilities
  • Communication and interpersonal skills

Application Tips:

  • Highlight relevant experience and achievements in data science and management
  • Tailor your resume and cover letter to emphasize your fit for this specific role
  • Prepare for behavioral and situational interview questions that focus on your leadership and management skills
  • Research The Home Depot's company culture and values to demonstrate your fit with the organization

ATS Keywords: Data Science, People Management, Project Management, Business Development, Technical Exploration, Predictive Modeling, Data Mining, Data Analysis, SQL, Data Visualization, Optimization, Computer Vision, Recommendation, Search, NLP, Mentoring, Coaching

ASSUMPTION: The Home Depot's interview process is designed to assess candidates' technical skills, leadership abilities, and cultural fit with the organization.

πŸ› οΈ Tools & Technologies

  • Google BigQuery
  • SQL
  • Tableau
  • Optimization algorithms
  • Computer vision tools
  • Recommendation engines
  • Search algorithms
  • Natural Language Processing (NLP) tools

ASSUMPTION: The specific tools and technologies required for this role may vary depending on the projects and initiatives the Data Science Manager is responsible for leading.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Excellence
  • Do the Right Thing
  • Take Care of Your People
  • Grow and Inspire

Work Style:

  • Collaborative and team-oriented
  • Results-driven and focused on delivering high-quality work
  • Adaptable and open to feedback and continuous learning

Self-Assessment Questions:

  • Do you have a proven track record of leading and managing high-performing teams?
  • Are you comfortable working in a fast-paced, dynamic environment and adapting to changing priorities?
  • Do you possess strong communication and interpersonal skills, with the ability to build and maintain effective working relationships with a diverse range of stakeholders?

ASSUMPTION: The ideal candidate for this role will possess strong leadership and management skills, as well as a collaborative and results-driven work style that aligns with The Home Depot's company values.

⚠️ Potential Challenges

  • Managing a team with diverse skills, backgrounds, and levels of experience
  • Balancing multiple projects and priorities, often with tight deadlines
  • Navigating a large organization with complex politics and decision-making processes
  • Adapting to changes in business priorities and strategic direction

ASSUMPTION: While these challenges may present obstacles, they also offer opportunities for growth and development as a leader and manager within the data science field.

πŸ“ˆ Similar Roles Comparison

  • Compared to other Data Science Manager roles, this position may require more focus on people management and project management, with a slightly lower emphasis on technical data science work
  • In the retail industry, data science roles often focus on customer analytics, marketing effectiveness, and inventory optimization, with a strong emphasis on driving business profitability and improving customer experience
  • Career progression for Data Science Managers may include advancement to senior management or director-level positions, with opportunities to expand responsibilities and lead larger teams

ASSUMPTION: While this role may have some similarities to other Data Science Manager positions, it is unique in its focus on the retail industry and the specific business needs of The Home Depot.

πŸ“ Sample Projects

  • Developing and implementing a predictive model to forecast customer demand for specific products, based on historical sales data and external factors such as seasonality and promotions
  • Creating a recommendation engine to suggest relevant products to customers based on their browsing and purchase history, as well as similar customers' behavior
  • Analyzing customer data to identify trends and patterns that inform marketing strategies and improve customer experience

ASSUMPTION: These sample projects are intended to illustrate the types of initiatives a Data Science Manager at The Home Depot might lead, but the specific projects and priorities may vary depending on business needs and strategic objectives.

❓ Key Questions to Ask During Interview

  • Can you describe the team I would be managing, and what are their current priorities and challenges?
  • How does this role fit into the broader data science and analytics organization at The Home Depot, and what are the key priorities for the team in the next 12-24 months?
  • What are the most important qualities and skills you're looking for in a candidate for this role, and how do you see me fitting with those requirements?
  • How does The Home Depot support the professional development and growth of its data science team members?
  • What are the biggest challenges facing the data science team currently, and how can this role help address them?

ASSUMPTION: Asking thoughtful and insightful questions during the interview process demonstrates your interest in the role and your commitment to understanding the organization's needs and priorities.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Tailor your resume and cover letter to highlight your relevant experience and skills for this specific role
  • Prepare for behavioral and situational interview questions that focus on your leadership and management skills
  • Research The Home Depot's company culture and values to demonstrate your fit with the organization
  • Follow up with the hiring manager one week after submitting your application to express your continued interest in the position

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.