Manager, Marketing Science

About the role

The Home Depot is looking for a Manager, Marketing Science to lead, develop and mentor a team of Marketing Science professionals who turn complex data into actionable insights on the effectiveness of marketing investments. The role works with Marketing, Finance, Merchandising, Online and Analytics teams to design and run measurement strategies such as marketing experimentation, personalization measurement and Marketing Mix Modeling (MMM), and to communicate findings clearly to business partners and senior leadership.

Key responsibilities

• Collaborate with stakeholders, business partners, developers and business analysts to deliver high-quality analytics solutions and meet business requirements.
• Present predictive and prescriptive insights to executive leadership and peer teams to guide decision-making.
• Act as a data strategy consultant for the executive leadership team and develop KPI frameworks for internal organizations.
• Lead, mentor and coach individual contributor team members, attract and retain talent, document processes and build onboarding and training plans.
• Support the team in designing algorithms and models for large datasets, manage resources and drive results.
• Manage business requests and roadmaps, coordinate across teams and advise stakeholders on the effort required for each insight.

Required profile

• Ages 18 or older and legally permitted to work in the United States.
• Experience managing and growing team members in a professional setting.
• Ability to guide junior team members through data analysis and visualization fundamentals.
• Preferred: Master's degree in a quantitative field or relevant experience, previous people or project management experience, and 1+ year of leadership experience.
• Preferred: 5 years of work experience (6 preferred).

Required skills

• Advanced analytics tools such as Python, R, SQL, Jupyter Notebook, VertexAI and AutoML.
• Data visualization software, preferably Tableau.
• Preferred: experience with marketing experiments (randomized controlled trials, geo-lift, incrementality testing), Marketing Mix Modeling, media measurement, attribution and causal measurement.