The Home Depot

Sr Data Scientist - AI Engineer

The Home Depot • $120K — $145K *
Atlanta, GA 30349In-Person
Consumer Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data science or machine learning, focusing on AI solutions.
  • Hands-on experience with Generative AI and LLM-based systems.
  • Strong software engineering skills in Python, SQL, and cloud deployment on GCP.
  • Expertise in MLOps practices including CI/CD and automated testing.
  • Familiarity with agent orchestration frameworks and structured communication protocols.

Responsibilities

  • Design and develop algorithms to extract business insights from large datasets.
  • Lead project management efforts to define goals and prioritize tasks.
  • Mentor junior team members and oversee team distributions.
  • Collaborate with business partners to develop trust and leverage analytics.
  • Continuously explore advancements in data science and establish best practices.

Benefits

  • Opportunities for continuous professional development and learning.
  • Involvement in innovative AI projects that have significant business impact.
  • Collaborative work environment with cross-functional teams.
  • Support for participation in recruiting and hiring efforts within the team.
Full Job Description
Position Purpose:

The Data Science organization is advancing merchandising decision-making through production-grade Agentic AI, MLOps, and AIOps capabilities. This Sr. Data Scientist is responsible for establishing foundational operational frameworks (MLOps, LLMOps, AIOps) and building agentic solutions that reason over enterprise data and orchestrate core data science models into production workflows. The role brings together data science, foundational models, retrieval systems, and reusable AI services to create reliable, governed, and scalable solutions that drive business impact.

Embedded within the data science team, the Sr. Data Scientist applies software engineering discipline, operational rigor, and Agentic AI expertise, partnering closely with software engineers and business stakeholders to move solutions from experimentation to production - automating model and agent lifecycles, embedding observability and governance, and orchestrating tools, APIs, and retrieval systems for enterprise decision intelligence.

Key Responsibilities:
  • 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 30% 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
  • 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
  • 15% 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; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented


Direct Manager/Direct Reports:
  • This position reports to manager or above
  • This position has 0 Direct Reports


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:
  • 6+ years of experience in data science, machine learning engineering, AI engineering, software engineering, or MLOps, with a focus on production-ready AI solutions.
  • 2+ years of hands-on experience developing, deploying, evaluating, or supporting GenAI, LLM-based, or Agentic AI solutions.
  • Experience building agentic AI systems and multi-step workflows utilizing tool calling, reasoning and planning, state and memory management, structured outputs, RAG/retrieval systems, embeddings, and API integration.
  • Strong software engineering skills, including Python, SQL, automated testing, containerization (Docker/Kubernetes), cloud deployment (GCP preferred), and technical collaboration with Engineering, DevOps, and SRE partners.
  • Demonstrated expertise in foundational MLOps/LLMOps/AIOps practices, including CI/CD automation, model/agent registries, versioning, automated testing, monitoring, automated retraining, rollback strategies, release management, and production support.
  • Demonstrated expertise in AI observability, operational reliability, and governance practices (e.g., tracing, telemetry, automated alerting, anomaly detection, incident triage, eval harnesses, safety guardrails, model explainability, approval paths, fallback mechanisms, tool-use auditing, cost/latency monitoring, and human-in-the-loop controls).
  • Hands-on experience with agent orchestration frameworks, structured agent communication protocols (e.g., MCP, A2A), and Infrastructure-as-Code (IaC).
  • Ability to prototype lightweight tools or interfaces, evaluate technical feasibility, and document reusable architectural patterns for future production use.
  • Continuous learning agility to evaluate emerging AI architectures, protocols, and operating models.
  • Domain experience in merchandising, retail, ecommerce, supply chain, assortment planning, or space planning.
  • 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:
  • 5


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


Minimum Leadership Experience:
  • None


Preferred Leadership Experience:
  • None


Certifications:
  • None


Competencies:
  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • 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
  • Cultivates Innovation: Creating new and better ways for the organization to be successful
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Directs Work: Provides direction, delegating and removing obstacles to get work done
  • 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
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

About The Home Depot

The Home Depot is a home improvement retailing company that combines its physical stores with an online presence to provide customers with innovative products at great value. The company specializes in the fields of retail, home improvement, and customer service. The Home Depot was founded in 1978 and is headquartered in Atlanta, Georgia.

The Home Depot Careers

Join the vibrant team at The Home Depot, the largest home improvement retailer in the U.S., where your career can flourish in an environment ripe with opportunities for growth and innovation. As a market leader, The Home Depot offers a variety of job opportunities that allow professionals to thrive in a culture that values leadership, diversity, and professional development. Work You’ll Do At The Home Depot, you’ll be part of a team that’s committed to helping homeowners, builders, and do-it-yourselfers bring their visions to life. Our extensive range of job opportunities spans from store operations to supply chain management, from IT to marketing. No matter where you start, you’ll be doing work that matters, impacting our customers' lives and experiences. Transform Your Career Step into a role within The Home Depot and join a network of over 400,000 associates who are as passionate about building their careers as they are about helping our customers. Leadership at The Home Depot means continuous improvement, embracing diversity, and fostering a culture of inclusion and respect that makes us stronger. Innovate with Us Innovation isn’t just a buzzword at The Home Depot; it’s the backbone of how we do business. We are constantly seeking out new technologies and tools to improve every aspect of our operations, from logistics to customer service. Join us, and bring your unique perspective and skills to a team that’s setting the standard for excellence in the retail industry. Grow and Develop The Home Depot is committed to the growth and development of its associates through robust training programs, leadership workshops, and opportunities for advancement. Whether you’re looking for a part-time position or a full-time career, The Home Depot nurtures your professional growth every step of the way. Internship Programs Dive into the professional world through The Home Depot’s internship programs, which offer a dynamic environment to gain hands-on experience and develop critical skills in various business areas. Our internships provide a platform to connect with leaders and peers, enhancing your resume and preparing you for future employment. Benefits and Culture Choosing to start your career at The Home Depot means more than just securing a job. It means you gain access to unparalleled benefits that support your life and well-being, from health insurance to educational assistance. Our commitment to employees is reflected in our open, supportive culture where everyone’s voice is heard, and every team member’s contribution is valued. Join Our Team Ready to take the next step in your career? Explore the wide range of positions available at The Home Depot, where we’re hiring passionate, curious, and innovative team players. Search open positions that match your skills and interests on our Jobs page. Stay Connected Keep up to date with the latest career tips, company news, and industry insights—all from the people who work here. Subscribe to our Careers Blog and personalize your subscription to receive updates that align with your career interests and goals. At The Home Depot, we don’t just offer jobs—we offer careers that make a difference. Join us, and be a part of something bigger as we continue to invest in your future and our shared success.
Learn more about The Home Depot
Size
490,600 employees
Market Cap
$323 billion
Industry
Retail & Consumer Goods
Net Income
$12.8 billion
Founded
1978
5 Year Trend
+9.8%
Revenue
$132.1 billion
NASDAQ
HD
* Ladders Estimates

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