Senior Data Scientist, Online Merchandising & Growth

The Home Depot; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

The Home Depot is seeking a Sr. Data Scientist for Online Merchandising to lead data science work that drives profitability and customer experience in the online channel.

You will build models supporting pricing, promotions, assortment, product discovery, and inventory tradeoffs, partnering with product managers, merchants and engineering. You will mentor data scientists, define priorities, and help bring models from prototype to production with measurable business impact across cross-functional

Qualifications

• PhD in quantitative field or related area is preferred.
• 6+ years applying data science to retail, e-commerce or supply chain problems.
• Proficient in Python and SQL for large-scale data analysis.
• Experience with data visualization tools and presenting insights to non-technical stakeholders.

Responsibilities

• Lead data science projects with product managers, merchants and engineers.
• Develop and deploy models behind merchandising decisions (pricing, promotions, assortment).
• Mentor junior data scientists and support recruiting efforts.
• Communicate insights and business impact to leaders and partners.

Skills

Python

SQL

Machine Learning

Statistical Analysis

Communication

Education

PhD in quantitative field

Bachelor's degree

Tools

Google BigQuery

Tableau

Job description

The Home Depot is seeking a Sr. Data Scientist for Online Merchandising to lead data science work that drives profitability and customer experience in the online channel.

You will build models supporting pricing, promotions, assortment, product discovery, and inventory tradeoffs, partnering with product managers, merchants and engineering. You will mentor data scientists, define priorities, and help bring models from prototype to production with measurable business impact across cross-functional