Senior Data Scientist - Lead Data Science & Strategy

The Home Depot; Atlanta (GA); On-site; USD 130,000 - 170,000; Full time

Job summary

The Home Depot is seeking a Senior Data Scientist to lead data science initiatives that boost profitability, efficiency, and customer experience. You will help build analytics infrastructure, identify opportunities, and mentor team members across projects.

Responsibilities include delivering actionable insights to executives, prioritizing tasks, and collaborating with product managers and IT to implement data-driven solutions. Strong communication and analytical skills are essential.

Qualifications

• PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
• 6+ years of experience in business intelligence and analytics
• Working knowledge of Microsoft Excel and Power Point
• Proficient in Python
• Proficient running queries against data (Google BigQuery or SQL)
• Proficient with data visualization software (Tableau)
• Mastery utilizing statistical techniques to identify key insights
• Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
• Predictive modeling, data mining and data analysis proficiency

Responsibilities

• 35% Solution Development - design and develop algorithms and models to extract insights from large datasets
• 30% Project Management & Team Support - define goals, prioritize work, mentor juniors, allocate resources
• 20% Business Collaboration - translate business needs into analytics solutions, educate partners
• 15% Technical Exploration & Development - advance data science methods and document reusable solutions

Skills

Leadership

Communication

Mentoring

Business intelligence

Optimization

Education

PhD in quantitative field

Bachelor's degree in related field

Tools

Google BigQuery

SQL

Python

Tableau

Excel

PowerPoint

Job description

The Home Depot is seeking a Senior Data Scientist to lead data science initiatives that boost profitability, efficiency, and customer experience. You will help build analytics infrastructure, identify opportunities, and mentor team members across projects.

Responsibilities include delivering actionable insights to executives, prioritizing tasks, and collaborating with product managers and IT to implement data-driven solutions. Strong communication and analytical skills are essential.