[Hiring] Principal Data Scientist @The Home Depot

Role Description

Product search is the heart of any e-commerce experience, and at The Home Depot, search is how doers find the things they need to get their projects done. From appliances to lumber to mulch to power tools and beyond, our search engine touches billions of dollars of sales each year. As Principal Data Scientist, Search, you will be the technical leader building the retrieval and ranking models powering our search engine and leveraging LLMs to build the intelligent shopping experience of the future.

The Principal Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by leveraging mastery of both the business and Advanced Analytics Modeling techniques. Principal Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage.

As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team. This role is expected to contribute to Home Depot's intellectual property by developing cutting-edge, innovative algorithms. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role requires networking with experts, both academic and industry, to further the application of data science to business problems.

Qualifications

• PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience.
• 10+ years of experience in business intelligence and analytics.
• Expertise in a modern scripting language (preferably Python).
• Expertise running queries against data (preferably with Google BigQuery or SQL).
• Advanced knowledge of Microsoft Office Suite.
• Expertise with data visualization software (preferably Tableau).
• Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP.
• Demonstrated mastery in predictive modeling, data mining and data analysis.
• Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Benefits

• Typically requires overnight travel less than 10% of the time.
• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about.
• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Company Description

For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:

• The pay range for this position is between $150,000.00 - $280,000.00.