Pro Analytics Data Scientist — Growth & Insights

Homedepot; United States; On-site; USD 90,000 - 150,000; Full time

Job summary

The Home Depot is seeking an Associate Data Scientist to join the Pro Intelligence team. You will translate business needs into analytical problems, build enterprise dashboards, and collaborate with data scientists on predictive modeling and deployment with IT.

You will work with Pro sales teams and leadership to deliver data-driven insights, requiring strong business acumen and clear communication across technical and non-technical audiences.

Qualifications

• Bachelor's degree in a quantitative field; Master’s preferred
• 3+ years in BI and analytics
• Strong SQL skills with large datasets (BigQuery preferred)
• Advanced Tableau or BI tool experience with dashboards used by partners
• Experience with statistical methods to drive decisions
• Excellent communication and storytelling for senior stakeholders
• Proficiency in Excel and PowerPoint
• Familiarity with prescriptive modeling and Python
• Experience with predictive modeling and deployment with IT/engineering teams
• Knowledge of model deployment or working with IT/engineering to productionize solutions

Responsibilities

• Develop algorithms and models on large datasets to generate business insights
• Communicate insights and recommendations to technical and non-technical audiences; support reports and presentations
• Stay current with industry trends and continuously improve data analytics practices

Skills

SQL proficiency

Tableau

BigQuery

Python

Data storytelling

Communication

Excel/PowerPoint

Education

Bachelor's degree in Analytics/CS/Engineering/Math

Tools

Tableau

BigQuery

Job description

The Home Depot is seeking an Associate Data Scientist to join the Pro Intelligence team. You will translate business needs into analytical problems, build enterprise dashboards, and collaborate with data scientists on predictive modeling and deployment with IT.

You will work with Pro sales teams and leadership to deliver data-driven insights, requiring strong business acumen and clear communication across technical and non-technical audiences.