Senior Data Science Manager, Customer Experience

The Home Depot; Atlanta (GA); On-site; USD 150,000 - 190,000; Full time

Job summary

The Home Depot is seeking a Data Science Manager to lead a team of data scientists, driving profitability and customer experience. You will mentor, strategize, and deliver data-driven solutions across large datasets, partnering with IT and business teams to maximize impact.

Ideal candidates have 8+ years in BI/analytics, strong leadership, and expertise in predictive modeling, data mining, and prescriptive techniques such as optimization, CV, or NLP.

Qualifications

• Bachelor’s degree or higher in a related field.
• 8+ years of experience in business intelligence and analytics.
• Proven leadership and team management experience.
• Expertise in predictive modeling, data mining and data analysis.
• Experience with SQL-based data querying.
• Experience with Tableau for data visualization.
• Experience with prescriptive modeling like optimization, computer vision, recommendation, search or NLP.
• Strong communication and stakeholder management.

Responsibilities

• Lead and coach data scientists; manage performance and development.
• Prioritize and manage data science projects with stakeholders.
• Develop data-driven strategies and partner with IT and business teams.
• Drive creation of scalable data products and analytics solutions.

Skills

People management

Predictive modeling

Data mining

SQL

Tableau

BigQuery

Optimization

Computer vision

NLP

Recommendation

Search

Communication

Education

Bachelor's degree in related field

Tools

Tableau

Google BigQuery

SQL

Job description

The Home Depot is seeking a Data Science Manager to lead a team of data scientists, driving profitability and customer experience. You will mentor, strategize, and deliver data-driven solutions across large datasets, partnering with IT and business teams to maximize impact.

Ideal candidates have 8+ years in BI/analytics, strong leadership, and expertise in predictive modeling, data mining, and prescriptive techniques such as optimization, CV, or NLP.