Senior Data Scientist - MET

The Home Depot; Atlanta (GA); On-site; USD 100,000 - 130,000; Full time

Job summary

The Home Depot is seeking a Senior Data Scientist to lead initiatives that drive business profitability and improve workflows using AI. You will develop algorithms for analyzing large datasets and collaborate with internal stakeholders to implement advanced analytical solutions.

The ideal candidate has a strong background in deploying data science models, proficiency in Python, and a Master’s or PhD in a quantitative field. This position requires minimal travel and offers a stimulating working environment.

Qualifications

• 5 years of work experience in data science.
• Proven ability to deploy data science models in real-world applications.
• Experience in conversational AI or generative AI preferred.

Responsibilities

• Design and develop algorithms for large datasets.
• Support project management and mentor junior scientists.
• Collaborate with business stakeholders on advanced analytics.

Skills

Data analysis

Machine learning

Statistical techniques

Python programming

Optimization methods

Education

Master’s or PhD in a quantitative field

Bachelor’s degree in a relevant field

Tools

Google BigQuery

SQL

Job description

Position Purpose

The Senior Data Scientist is responsible for leading data science initiatives that drive business profitability, process optimization, increased efficiencies, improve workflow automation using AI, and enhance store associate experience. This role focuses on building industry‑leading Agentic AI capabilities and deploying Data Science models at scale for MET operations. Based on the specific data science project, the role requires expertise in one or more specializations such as optimization, computer vision, multimodal AI, conversational AI, information retrieval, generative AI, or search.

Key Responsibilities

• 35% Solution Development – Design and develop algorithms and models to analyze large datasets, select and interpret advanced analytical methodologies, and communicate insights to both technical and non‑technical stakeholders. Prepare reports, updates, and presentations to demonstrate the impact of recommendations.
• 30% Project Management & Team Support – Determine project goals with teams, prioritize work, mentor junior scientists, collaborate on workload distribution, and support recruiting and hiring efforts.
• 20% Business Collaboration – Leverage business knowledge to shape solution approaches, build trust and partnerships with internal customers, provide education on advanced analytics, and identify new opportunities for data science to gain competitive advantage.
• 15% Technical Exploration & Development – Keep abreast of developments in data science, contribute to reusable solutions, document best practices, and develop a library of algorithms for future projects.

Direct Manager / Direct Reports

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

Travel Requirements

Typically requires overnight travel less than 10% of the time.

Physical Requirements

Mainly a seated position with frequent opportunity to move. Rarely may need to move or lift light items.

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

• Master’s or PhD in a quantitative field (Computer Science, Mathematics, Statistics, etc.).
• Model Productionization – 4+ years of experience deploying Data Science models from development to live applications with real‑world predictions.
• AI Orchestration – 2+ years of experience focusing on conversational AI, generative AI, multimodal AI, agentic workflows, or custom tool‑calling.
• Technical Expertise – Proficient in a modern scripting language (preferably Python); proficient running queries (Google BigQuery or SQL); adept at statistical techniques to identify key insights; knowledgeable in prescriptive modeling (optimization, computer vision, recommendation, search, or NLP); demonstrated proficiency in predictive modeling, data mining, and data analysis.

Minimum Education

Typical knowledge, skills, and abilities acquired through completion of a bachelor’s degree program or equivalent in a relevant field of study.

Minimum Years of Work Experience

5 years.

Competencies

• Attracts Top Talent – Ability to identify and select the best talent.
• Business Insight – Applies business and marketplace knowledge to advance organizational goals.
• Collaborates – Builds partnerships and works collaboratively to achieve shared objectives.
• Communicates Effectively – Delivers clear, audience‑appropriate communications in multiple modes.
• Cultivates Innovation – Develops new, improved ways for organizational success.
• Customer Focus – Builds strong customer relationships and delivers customer‑centric solutions.
• Develops Talent – Helps people grow toward their career goals and the organization’s objectives.
• Directs Work – Delegates effectively and removes obstacles to ensure completion.
• Drives Results – Consistently achieves outcomes even under challenging circumstances.
• Nimble Learning – Learns through experimentation, using successes and failures as learning fodder.
• Optimizes Work Processes – Identifies and implements efficient processes, emphasizing continuous improvement.
• Self‑Development – Seeks new opportunities for growth using formal and informal development channels.