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Home Depot Data Scientist Jobs (NOW HIRING)

Home Depot

Principal Data Scientist - CX

Atlanta, GA · On-site

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Principal Data Scientist is responsible for leading data science initiatives that ...

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Sr. Data Scientist is responsible for leading data science initiatives that drive ...

Home Depot

Lead Data Scientist

Atlanta, GA · On-site

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Lead Data Scientist is responsible for leading data science initiatives that drive ...

Home Depot

Senior Data Scientist, Delivery

Atlanta, GA · On-site

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: We are looking for a Senior Data Scientist to support innovation and next-gen Delivery ...

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

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 ...

Home Depot

Associate Data Scientist, Marketing

Atlanta, GA · On-site

$56K - $56K/yr

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 ...

Home Depot

Data Scientist

Atlanta, GA · On-site

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Scientist will be a key architect in building next-generation agentic systems ...

Home Depot

Senior Data Scientist - MET

Atlanta, GA · On-site

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Senior Data Scientist is responsible for leading data science initiatives that drive ...

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Home Depot Data Scientist information

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$46K

$165K

$243.5K

How much do home depot data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for home depot data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Home Depot data scientist, and why are they important?

To thrive as a Home Depot Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, big data platforms (like Hadoop or Spark), and visualization tools like Tableau is commonly required. Strong problem-solving abilities, business acumen, and effective communication skills help translate complex data insights into actionable business strategies. These skills and qualities are vital to drive data-informed decisions that improve operations, customer experiences, and business outcomes for Home Depot.

What is the difference between Home Depot Data Scientist vs Home Depot Business Analyst?

AspectHome Depot Data ScientistHome Depot Business Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fieldBachelor's in Business, Economics, or related field
Work EnvironmentData-driven teams, analytics departmentsOperations, sales, and marketing teams
Employer & Industry UsageRetail, home improvement industryRetail, home improvement industry
Common Search & ComparisonFocuses on advanced data modeling and predictive analyticsFocuses on business process analysis and reporting

The Home Depot Data Scientist primarily works with complex data analysis, predictive modeling, and machine learning to inform strategic decisions. In contrast, the Home Depot Business Analyst concentrates on analyzing business processes, generating reports, and supporting operational improvements. Both roles are essential in the retail industry but differ in technical depth and focus areas.

How does a data scientist at Home Depot typically collaborate with cross-functional teams to drive business insights?

As a Data Scientist at Home Depot, you will frequently collaborate with cross-functional teams such as business analysts, product managers, engineers, and marketing specialists. This collaboration involves translating business objectives into data-driven solutions, presenting findings to both technical and non-technical stakeholders, and participating in agile project cycles. Regular meetings and brainstorming sessions are common, where data scientists provide actionable insights that influence product development, merchandising strategies, and customer experience enhancements. Strong communication skills and the ability to explain complex analyses in a clear, practical manner are crucial for success in this collaborative environment.

What does a data scientist do at Home Depot?

A Data Scientist at Home Depot analyzes large datasets to uncover insights that improve business operations, customer experiences, and decision-making. They use statistical techniques, machine learning, and data visualization to solve problems like optimizing inventory, personalizing marketing, and forecasting demand. Data Scientists often collaborate with other departments to implement their findings and drive data-driven strategies throughout the company.
More about Home Depot Data Scientist jobs

What job categories do people searching Home Depot Data Scientist jobs look for?

The top searched job categories for Home Depot Data Scientist jobs are:

Home Depot Data Scientist jobs near you
Infographic showing various Home Depot Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Principal Data Scientist - CX

Home Depot

Atlanta, GA • On-site

Full-time

Posted 6 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,428 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
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.
Key Responsibilities:
  • 25% Solution Development - Utilize advanced expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Test alternative methodology and cutting-edge algorithms on business problems to deliver even better solutions and recommendations
  • 20% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive
  • 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage
  • 35% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Support development of cutting-edge, innovative algorithms that would serve as Intellectual Property for Home Depot; Demonstrate and share technical expertise by attending conferences, speaking events and publishing papers; Be a thought leader within Home Depot in one or more Prescriptive Modeling techniques like optimization, computer vision, recommendation, search or NLP; Network with both academic and industry experts to further the application of data science to business problems

Direct Manager/Direct Reports:
  • This position typically reports to Senior Manager or above
  • This position has 0 Direct Reports and leads/manages projects

Travel Requirements:
  • Typically requires overnight travel less than 10% of the time.

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:
  • 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

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:
  • 10

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Cultivates Innovation: Creating new and better ways for the organization to be successful
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
  • Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Persuades: Using compelling arguments to gain the support and commitment of others
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
  • Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
  • Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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