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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

πŸ”Ή Date Posted: 2025-04-16

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 cross-functional teams to identify opportunities for data science solutions
  • Developing and executing strategies to attract, retain, and develop top talent
  • Staying up-to-date with key developments within data science and additional data sources

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

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 for consistent execution; collaborate with program managers and business partners; serve as an escalation point for project issues; provide executive updates on program effectiveness

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 technical background in data science, with a focus on predictive modeling, data mining, and data analysis. Additionally, the ideal candidate will have experience in people management, project management, and business development.

🎯 Required Qualifications

Education: Bachelor's degree in a related field

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

Required Skills:

  • Expertise 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
  • 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: The ideal candidate will have a strong technical background in data science, with a focus on predictive modeling, data mining, and data analysis. Additionally, they will have experience in people management, project management, and business development.

πŸ’° Compensation & Benefits

Salary Range: Based on industry standards for a Data Science Manager role in Atlanta, GA, the estimated salary range is $120,000 - $160,000 per year. This estimate takes into account the candidate's experience level, the company's size, and the location.

Benefits:

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

Working Hours: Full-time, typically Monday through Friday, 8:00 AM to 5:00 PM, with some flexibility for 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, skills, and the company's internal compensation structure.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: The Home Depot is a leading retailer in the home improvement industry, with a focus on providing high-quality products and exceptional customer service.

Company Size: With over 10,000 employees, The Home Depot is a large organization that offers numerous opportunities for career growth and development.

Founded: The Home Depot was founded in 1979 and has since grown to become one of the world's largest home improvement specialty retailers, operating over 2,300 retail stores in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, Guam, Canada, and Mexico.

Company Description:

  • The Home Depot is committed to providing exceptional customer service and high-quality products to help customers build and improve their homes.
  • The company values and rewards dedicated, knowledgeable, and experienced professionals who can help achieve its mission.
  • The Home Depot offers a wide range of career opportunities in various departments, including data science, marketing, merchandising, and store operations.

Company Specialties:

  • Retail
  • Home improvement
  • Customer service

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

ASSUMPTION: The Home Depot is a well-established company with a strong reputation in the home improvement industry. It offers numerous opportunities for career growth and development, as well as competitive compensation and benefits packages.

πŸ“Š Role Analysis

Career Level: This role is a management position that requires significant experience in data science, people management, and project management. It is suitable for experienced professionals looking to take the next step in their careers.

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

Work Arrangement: This role is on-site, with the primary work location at the STORE SUPPORT CENTER in Atlanta, GA. There may be occasional overnight travel requirements, up to 20% of the time.

Growth Opportunities:

  • Advancement to a Senior Manager or Director role within the Data Science department
  • Expansion of responsibilities to include additional teams or departments
  • Development of specialized skills or expertise in specific areas of data science

ASSUMPTION: This role offers significant opportunities for career growth and development within the Data Science department and the broader organization.

🌍 Location & Work Environment

Office Type: The primary work location is an on-site office at the STORE SUPPORT CENTER in Atlanta, GA.

Office Location(s): 2455 Paces Ferry Road, Atlanta, Georgia 30339, US

Geographic Context:

  • Atlanta, GA, is a major metropolitan area with a diverse population and a thriving job market.
  • The STORE SUPPORT CENTER is located in the northern suburbs of Atlanta, with easy access to major highways and public transportation.
  • The area offers a variety of housing options, cultural attractions, and recreational activities.

Work Schedule: Full-time, typically Monday through Friday, 8:00 AM to 5:00 PM, with some flexibility for overtime or weekend work as needed.

ASSUMPTION: The work environment at The Home Depot is fast-paced and dynamic, with a strong focus on collaboration and teamwork. The company offers a supportive and inclusive work culture that values diversity and encourages professional growth.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission
  • Phone or video screen with a member of the HR team
  • Technical interview with a member of the Data Science team
  • On-site interview with the hiring manager and other team members
  • Final decision and offer

Key Assessment Areas:

  • Technical skills in data science, with a focus on predictive modeling, data mining, and data analysis
  • Leadership and management skills, including experience in people management and project management
  • Business acumen and strategic thinking
  • Communication and interpersonal skills

Application Tips:

  • Highlight relevant experience and achievements in data science, people management, and project management
  • Tailor your resume and cover letter to emphasize the skills and qualifications required for this role
  • Prepare for technical and behavioral interview questions, focusing on your problem-solving skills and ability to lead and manage teams

ATS Keywords: Data Science, People Management, Project Management, Business Development, Predictive Modeling, Data Mining, Data Analysis, SQL, Tableau, Optimization, Computer Vision, Recommendation, Search, NLP

ASSUMPTION: The interview process for this role is designed to assess the candidate's technical skills, leadership abilities, and cultural fit within the organization. The company values a diverse and inclusive workforce and encourages applicants from all backgrounds to apply.

πŸ› οΈ Tools & Technologies

  • Google BigQuery
  • SQL
  • Tableau
  • Optimization algorithms (e.g., Gurobi, CPLEX)
  • Machine learning libraries (e.g., scikit-learn, TensorFlow)
  • Programming languages (e.g., Python, R)

ASSUMPTION: The ideal candidate will have experience with the tools and technologies listed above and be comfortable learning and adapting to new tools as needed.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Excellence
  • Doing the Right Thing
  • Taking Care of Our People
  • Giving Back to Our Communities

Work Style:

  • Collaborative and team-oriented
  • Results-driven and focused on delivering high-quality work
  • Adaptable and comfortable working in a dynamic and fast-paced environment

Self-Assessment Questions:

  • Do you thrive in a collaborative and team-oriented work environment?
  • Are you results-driven and focused on delivering high-quality work?
  • Are you adaptable and comfortable working in a dynamic and fast-paced environment?

ASSUMPTION: The ideal candidate will be a strong cultural fit within the organization, with a collaborative and team-oriented work style, a focus on delivering high-quality results, and the ability to adapt to a dynamic and fast-paced environment.

⚠️ Potential Challenges

  • Managing a team of data scientists with varying levels of experience and expertise
  • Balancing multiple projects and priorities, often with tight deadlines
  • Collaborating with cross-functional teams and stakeholders with diverse backgrounds and perspectives
  • Keeping up with the latest developments in data science and technology

ASSUMPTION: The ideal candidate will be able to effectively manage a team, balance multiple priorities, collaborate with diverse stakeholders, and stay up-to-date with the latest developments in data science and technology.

πŸ“ˆ Similar Roles Comparison

  • Compared to other Data Science Manager roles, this position places a greater emphasis on people management and project management skills
  • In the home improvement industry, data science is increasingly important for driving business profitability and improving customer experience
  • Career paths for Data Science Managers may include advancement to Senior Manager or Director roles within the Data Science department or expansion of responsibilities to include additional teams or departments

ASSUMPTION: This role offers unique opportunities for career growth and development within the Data Science department and the broader organization.

πŸ“ Sample Projects

  • Developing predictive models to forecast customer demand for specific products or categories
  • Analyzing customer data to identify trends and opportunities for targeted marketing campaigns
  • Optimizing inventory management and supply chain processes using data-driven insights

ASSUMPTION: The ideal candidate will have experience with similar projects and be able to demonstrate their ability to deliver high-quality results in a fast-paced and dynamic work environment.

❓ Key Questions to Ask During Interview

  • Can you describe the team structure and dynamics within the Data Science department?
  • How does the Data Science team collaborate with other departments and stakeholders within the organization?
  • What are the most pressing business challenges facing the Data Science team, and how can this role help address them?
  • What opportunities are there for professional development and growth within the Data Science department and the broader organization?
  • How does the company support work-life balance for its employees?

ASSUMPTION: The ideal candidate will be curious and engaged, asking thoughtful questions about the role, the team, and the organization to demonstrate their interest and fit for the position.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through The Home Depot Careers website
  • Tailor your resume and cover letter to highlight your relevant experience and skills in data science, people management, and project management
  • Prepare for technical and behavioral interview questions, focusing on your problem-solving skills and ability to lead and manage teams
  • Follow up with the HR team one week after submitting your application to inquire about the status of your application

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