Associate Data Scientist - FP&A Pro Intelligence, Decision Analytics

Home Depot / THD; Atlanta (GA); On-site; USD 70,000 - 110,000; Full time

Job summary

Home Depot is seeking an Associate Data Scientist to support the Pro Intelligence team in Atlanta. You will partner with Pro Ops and Pro sales to build enterprise dashboards and deliver data-driven insights, with growth into predictive modeling and deployment alongside senior data scientists.

The role focuses on analytics execution today with opportunities to expand into modeling and deployment work in a collaborative environment.

Qualifications

• Bachelor's degree in a quantitative field, such as Analytics, Statistics, Math, Computer Science, Engineering, Economics, or a related discipline.

Responsibilities

• Design and develop algorithms and models to generate business insights from large datasets.
• Conduct analysis to support data science projects and address business needs.
• Complete assigned tasks with a strong focus on efficiency and quality.
• Consult with a Data Scientist or Senior Data Scientist to support selection, use, and interpretation of advanced analytical methodologies.
• Learn assigned business areas to improve solutions with business knowledge.
• Communicate insights and recommendations to both technical and non-technical audiences.
• Support preparation of reports, status updates, and presentations related to project progress or solution delivery.
• Highlight potential impacts of recommendations to ensure alignment and proper implementation.
• Stay current on industry trends, best practices, and emerging methodologies.
• Continually build skills and deepen expertise in data analytics concepts and methodologies.
• Identify opportunities to apply learnings to new problems.

Education

Bachelor's degree in a quantitative field

Tools

SQL

Tableau

Business BI tools

Google BigQuery

Microsoft Excel

PowerPoint

Python

Job description

The Associate Data Scientist role supports Home Depot's Pro Intelligence team by partnering with Pro Ops and Pro sales to build enterprise dashboards and deliver data-driven insights. The position focuses on analytics execution today, with growth into predictive modeling and deployment work alongside Data Scientists.

Key Responsibilities

• Design and develop algorithms and models that can be applied to large datasets to generate business insights.
• Conduct analysis to support data science projects and address business needs.
• Complete assigned tasks with a strong focus on efficiency and quality.
• Consult with a Data Scientist or Sr. Data Scientist to support appropriate selection, use, and interpretation of advanced analytical methodologies.
• Learn assigned business areas to improve solutions by incorporating business-specific knowledge.
• Communicate insights and recommendations to both technical and non-technical audiences.
• Support preparation of reports, status updates, and presentations related to project progress or solution delivery.
• Highlight potential impacts of recommendations to encourage alignment and appropriate implementation.
• Stay current on industry trends, best practices, and emerging methodologies.
• Continually build skills and deepen expertise in data analytics concepts and methodologies.
• Identify opportunities to apply learnings to new problems.

Required Qualifications

• Bachelor's degree in a quantitative field, such as Analytics, Statistics, Math, Computer Science, Engineering, Economics, or a related discipline.
• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Technology Stack

• SQL
• Tableau
• Business intelligence (BI) tools
• Google BigQuery
• Microsoft Excel
• PowerPoint
• Python

Work Location and Reporting

• Location: Atlanta, GA (onsite)
• Reporting: Reports to a manager or above
• Direct reports: 0

Travel, Physical, and Working Conditions

• Travel: No travel required.
• Physical requirements: Most time is spent sitting in a comfortable position with frequent opportunities to move about. On rare occasions, there may be a need to move or lift light items.
• Working conditions: Work is conducted in a comfortable indoor environment. Any unpleasant conditions would be infrequent and not objectionable.