Associate Data Scientist: Analytics & Insights

Home Depot U.S.A., Inc.; United States; On-site; USD 70,000 - 130,000; Full time

Benefits offered by this job

Health care benefits

401K

ESPP

Paid time off

Success sharing bonus

Job summary

The Home Depot seeks an Associate Data Scientist to support data science initiatives that boost profitability, efficiency and customer experience. You’ll work with Data Scientists to apply advanced analytics, develop models, and translate insights into business impact.

Responsibilities focus on model development, communicating results to diverse audiences, and ongoing learning to apply best practices in analytics and data science.

Qualifications

• Master's degree in a quantitative field or equivalent work experience.
• 3+ years of experience in business intelligence and analytics.
• Proficiency with Excel and PowerPoint.
• Experience in Python and SQL/BigQuery.
• Experience with data visualization tools (Tableau).
• Knowledge of prescriptive modeling such as optimization, computer vision, recommendations, search or NLP.
• Experience with data mining and predictive modeling.

Responsibilities

• 70% Solution Development: design and develop models to extract business insights from large datasets and drive profitability.
• 20% Communicating Results: present insights to technical and non‑technical audiences and support reporting.
• 10% Technical Learning: stay current on analytics methodologies and industry trends.

Skills

Data analysis

Python

SQL/BigQuery

Tableau

Excel

PowerPoint

Data visualization

Prescriptive modeling basics

NLP basics

Education

Master's degree in quantitative field

Tools

Google BigQuery

SQL

Tableau

Python

Job description

The Home Depot seeks an Associate Data Scientist to support data science initiatives that boost profitability, efficiency and customer experience. You’ll work with Data Scientists to apply advanced analytics, develop models, and translate insights into business impact.

Responsibilities focus on model development, communicating results to diverse audiences, and ongoing learning to apply best practices in analytics and data science.