Associate Data Scientist, Merchandise Execution Team (MET)

Home Depot • Atlanta, GA

9d

About The Position

The Associate Data Scientist supports data science initiatives that drive business profitability, process optimization, increased efficiency, workflow automation using AI, and an improved store associate experience. Working closely with Data Scientists and Senior Data Scientists, the role helps build Agentic AI capabilities and deploy data science models at scale for Merchandise Execution Team (MET) operations.

Depending on the project, the Associate Data Scientist applies one or more specializations, such as optimization, computer vision, multimodal AI, conversational AI, information retrieval, generative AI, or search. The role develops skills in applying data science methodologies to solve business problems and provide strategic insights, while communicating effectively and continuing to learn at both technical and business levels.

Requirements

• Must be at least 18 years of age.
• Must be legally permitted to work in the United States.
• Bachelor's degree or equivalent degree in a field of study related to the job, or equivalent knowledge, skills, and abilities typically acquired through completing a bachelor's degree program.

Nice To Haves

• Master's degree in a quantitative field such as computer science, mathematics, or statistics, or equivalent work experience.
• At least 2 years of experience developing machine learning or AI models to solve business problems.
• At least 2 years of experience in business intelligence and analytics.
• Proficiency in a modern scripting language, preferably Python.
• Proficiency running data queries, preferably with Google BigQuery or SQL.
• Knowledge of prescriptive modeling, such as optimization, computer vision, recommendation, search, or NLP.
• Demonstrated experience in predictive modeling, data mining, and data analysis.
• Proficiency with data visualization software, preferably Tableau.
• Proficiency using statistical techniques to identify insights that help solve business problems.
• Working knowledge of Microsoft Excel and PowerPoint.

Responsibilities

• Design and develop algorithms and models for large datasets to generate business insights.
• Support data science projects by conducting analysis to solve business problems.
• Execute assigned tasks efficiently and with high quality.
• Consult with a Data Scientist or Senior Data Scientist on selecting, using, and interpreting advanced analytical methodologies.
• Learn about assigned business areas and incorporate business-specific knowledge into solutions.
• Communicate insights and recommendations effectively to technical and non-technical audiences.
• Support preparation of project progress reports, updates, and presentations.
• Highlight potential impacts of recommendations to support alignment and implementation.
• Keep up to date with industry trends, best practices, and emerging methodologies.
• Continue developing skills and expertise in data analytics concepts and methodologies.
• Identify opportunities to apply new learnings.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level