Associate Data Scientist, Merchandise Execution Team (MET)

The Home Depot; Atlanta (GA); On-site; USD 90,000 - 120,000; Full time

Job summary

The Home Depot is seeking an Associate Data Scientist to support data-driven profitability, efficiency, and AI-enabled workflows across MET operations. You will collaborate with Data Scientists to deploy models at scale and apply optimization, CV, NLP, and information-retrieval techniques.

Ideal candidates combine a quantitative degree with hands-on ML experience, strong communication, and the ability to translate insights into actionable business improvements in a retail environment.

Qualifications

• Bachelor's degree or higher in a quantitative field such as CS, Math, Stats, or similar.
• 2+ years of experience in developing ML/AI models to solve business problems.
• Experience in BI and analytics and proficiency with SQL/BigQuery.
• Strong communication skills and ability to translate data insights into actions.

Responsibilities

• 70% Solution Development - design and develop algorithms/models on large datasets to drive insights and business outcomes.
• 20% Communicating Results - present findings to technical and non-technical audiences and support reporting.
• 10% Technical Learning - stay current on industry trends and continuously improve skills.

Skills

Python

SQL

Tableau

Data Visualization

Communication

Machine Learning

Education

Bachelor's degree in a quantitative field

Tools

Google BigQuery

Excel

Git

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, process optimization, increased efficiencies, improve workflow automation using AI and improved store associate experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to build industry-leading Agentic AI capabilities and deploying Data Science models at scale for MET operations. Based on the specific data science project, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, Multimodal AI, Conversational AI, Information Retrieval, Generative AI or search.

As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.

Key Responsibilities:

• 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
  
• 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation
  
• 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings

Direct Manager/Direct Reports:

• This position reports to manager or above
  
• This position has 0 direct reports

Travel Requirements:

• No travel required.

Physical Requirements:

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

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

Preferred Qualifications:

• Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  
• 2+ years of experience in developing machine learning / AI models to solve business problems
  
• 2+ years of experience in business intelligence and analytics
  
• Proficientin a modern scripting language (preferably Python)
  
• Proficient running queries against data (preferably with Google BigQuery or SQL)
  
• Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  
• Demonstrated experience in predictive modeling, data mining and data analysis
  
• Proficient with data visualization software (preferably Tableau)
  
• Proficient utilizing statistical techniques to identify key insights that help solve business problems
  
• Working knowledge of Microsoft Excel and Power Point

Minimum Education:

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

• No additional education

Competencies:

• Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  
• Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  
• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  
• Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  
• Drives Results: Consistently achieving results, even under tough circumstances
  
• Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  
• Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  
• Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  
• Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels