Associate Data Scientist - Decision Analytics

The Home Depot; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

The Home Depot in Atlanta is seeking an Associate Data Scientist to bridge data engineering, analytics, and business strategy. You will own end-to-end analytical projects, balancing quick ad-hoc requests with long-term initiatives.

The role emphasizes advanced SQL, data wrangling, Tableau, and applied GenAI to harmonize large datasets across systems, translating technical findings into executive-ready recommendations for non-technical partners.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 3+ years of BI and analytics experience.
• Strong SQL and data wrangling skills.
• Experience with Tableau and data visualization.

Responsibilities

• Design and develop analytics to drive business insights and profitability.
• Present findings to technical and non-technical stakeholders; influence decision making.
• Collaborate with data engineering and analytics teams to deliver end-to-end solutions.

Skills

Advanced SQL

Data wrangling

Tableau

GenAI analytics

Business acumen

Communication

Education

Bachelor's degree

Tools

Google BigQuery

Python

Excel

Job description

Position Purpose:

The Associate Data Scientist drives business profitability and seamless acquisition of The Home Depot's recent integrations by acting as a critical bridge between data engineering, analytics, and overarching business strategy. Operating in a fast-paced, startup-like environment, this role owns end-to-end analytical projects that require pivoting seamlessly between rapid, ad-hoc requests and long-term strategic execution. The position demands exceptional technical capabilities particularly in advanced SQL, robust data wrangling, Tableau, and applied GenAI to untangle and harmonize massive datasets across disparate company systems. Prioritizing business acumen over classical machine learning, the Data Scientist applies advanced analytics and matching algorithms to extract actionable insights, ultimately translating complex technical realities into clear, executive-ready recommendations for non-technical stakeholders, IT engineers, and other business partners.

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
• 3+ years of experience in business intelligence and analytics
• Working knowledge of Microsoft Excel and Power Point
• Experience in a modern scripting language (preferably Python)
• Proficient running queries against data (preferably with Google BigQuery or SQL)
• Proficient with data visualization software (preferably Tableau)
• Proficient utilizing statistical techniques to identify key insights that help solve business problems
• Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
• Demonstrated experience in predictive modeling, data mining and data analysis

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

Minimum Years of Work Experience:

• 0

Preferred Years of Work Experience:

• No additional years of experience

Minimum Leadership Experience:

• None

Preferred Leadership Experience:

• None

Certifications:

• None

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