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Manager, Marketing Science

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: The Home Depot
Full Time position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position

Purpose:

Marketing Science associates generate actionable insights that help the enterprise understand the effectiveness of marketing investments and optimize future decision-making. They leverage advanced measurement methodologies—including experimentation, causal inference, personalization measurement, and Marketing Mix Modeling (MMM)—to quantify incremental business impact and guide marketing strategy. Marketing Science associates are skilled in advanced analytics and analytical tools and languages such as GCP Big Query, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau.

They possess deep expertise in marketing measurement and causal analytics, partnering closely with Marketing, Finance, Merchandising, Online, and Analytics teams to translate complex data into clear, actionable business recommendations.

Key Responsibilities:

  • 20% - Business Collaboration
    - Collaborate with stakeholders, business partners, colleagues, developers and business analysts to deliver high quality analytics solutions;
    Ensure all business requirements are met and the team has everything needed to perform their analysis.
  • 20% - Communicating Results
    - Provide requested insights to executive leadership as well as peer teams;
    Present predictive and prescriptive insights to requestors to guide decision-making.
  • 10% - Framing & Executing Analytics
    - Serve as data strategy consultants for the executive leadership team and provide answers to strategic questions;
    Develop KPI Frameworks for internal organizations to measure performance.
  • 40% - People Management & Team Leadership
    - Provide leadership, mentorship and coaching to team members (individual contributors) and evaluate performance, execution, and contribution. Attract, retain and develop top talent to build an effective and high performing team. Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress. Ensure appropriate processes and job-specific requirements are properly documented. Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team.

    Manage resources effectively to align with strategic initiatives and business needs. Foster collaboration with team members to develop a supportive and engaged team. Support team in the design and development of algorithms and models to use against large datasets to create business insights. Drive team’s results and celebrate accomplishments.
  • 10% - Project Management & Team Support
    - Management of business requests, roadmaps, and coordination across other teams to provide insights;
    Advise all stakeholders on the level of effort involved in producing certain insights and establishing a new request.

Direct Manager/Direct Reports:

  • This position reports to the Senior Manager
  • This position has 3+ direct reports

Travel Requirements:

  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:

  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.

Working Conditions:

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

  • Must be 18 years of age or older.
  • Must be legally permitted to work in the United States.
  • Experience managing and growing team members in a professional setting
  • Demonstrated proficiency in guiding more junior team members through data analysis and visualization fundamentals
  • Expertise utilizing data analysis to identify key insights that help solve business problems

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