Data Scientist, Contact Center AI
Company: Home Depot
Location: Atlanta
Posted on: April 1, 2026
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Job Description:
With a career at The Home Depot, you can be yourself and also be
part of something bigger. Position Purpose: The Data Scientist is
responsible for supporting data science initiatives that drive
business profitability, increased efficiencies, improve automation
using AI and improved customer experience. This role applies
industry-leading Agentic AI capabilities for creatively solve
business problems in the Contact Center space. Data Scientists are
also responsible for ensuring that developed codes are documented
into a library of reusable algorithms. Based on the specific data
science team, this role would need to be knowledgeable in one or
more data science specializations, such as NLP, Conversational AI,
Information Retrieval, Generative AI or search. As a Data
Scientist, you will also be responsible for applying advanced
analytics methods and algorithms for identifying trends and
providing business solutions. This role is expected to present
insights and recommendations to non-technical audiences and explain
the benefits and impacts of the recommended solutions. In addition,
Data Scientists collaborate with business partners and
cross-functional teams, requiring effective communication skills,
building relationships, and focus on understanding the overall
business area being supported. Key Responsibilities: 55% Solution
Development - Design and develop algorithms and models to use
against large datasets to create business insights; Participates in
large data analytics project teams by serving as a technical lead
for analytics projects; May lead small projects and work
independently on solution development; Execute tasks with high
levels of efficiency and quality; Make appropriate selection,
utilization and interpretation of advanced analytical methodologies
20% Communicating Results - Effectively communicate insights and
recommendations to both technical and non-technical leaders and
business customers/partners; Present recommendations in a confident
manner in order to influence execution of recommendation; 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 10% Business
Collaboration - Incorporate business knowledge into solution
approach; Effectively develop trust and collaboration with internal
customers and cross-functional teams; Work with project teams and
business partners to determine project goals 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; Build and maintain library of reusable algorithms for
future use, ensuring developed codes are documented Direct
Manager/Direct Reports: This position typically 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: Masters in a quantitative field
(Computer Science, Math, Statistics, etc.) or equivalent work
experience 4 years of industry experience in Machine Learning and
AI (specifically Conversational AI) Prior background and experience
in building Generative AI based solutions for industry is a plus
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 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 Machine
Learning, Conversational AI, 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: 3 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
Keywords: Home Depot, Columbus , Data Scientist, Contact Center AI, IT / Software / Systems , Atlanta, Georgia