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Home Depot Data Scientist Jobs (NOW HIRING)

With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued ... The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to ...

With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued ... The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Showing results 41-60

Home Depot Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Sep 3, 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 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.

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 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.

Is a home depot data scientist job still in demand?

Data scientist roles at companies like Home Depot remain in demand due to the increasing reliance on data analytics for business decisions. These positions typically require skills in statistical analysis, machine learning, and data visualization tools, and are expected to grow as companies prioritize data-driven strategies.
More about Home Depot Data Scientist jobs
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, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Full-time

Retirement, PTO

Re-posted 19 days ago


Brookfield Properties rating

7.5

Company rating: 7.5 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

104th of 207 rated real estate companies


Job description

Location
Charleston - 997 Morrison Drive, Suite 402
Business
Our Growth, Your Opportunity
At Maymont Homes, our success starts with people, our residents and our team. We are transforming the single-family rental experience through innovation, quality, and genuine care. With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued expansion on the horizon, we are more than a leader in the industry-we are a company that puts people and communities at the heart of everything we do.
As part of Brookfield, Maymont Homes is growing quickly and making a lasting impact. We are also proud to be Certified™ by Great Place to Work®, a recognition based entirely on feedback from our employees. This honor reflects the culture of trust, collaboration, and belonging that makes Maymont a place where people thrive.
Join a purpose-driven team where your work creates opportunity, sparks innovation, and helps families across the country feel truly at home.
Job Description
**This position is onsite at 997 Morrison Dr, Charleston SC**
Primary Responsibilities: The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to solve complex business challenges and enable data-driven decision-making across the organization. This role develops, validates, and deploys predictive and statistical models using Python, while also performing hands-on data analysis, data extraction, and ad hoc reporting using Python, SQL, and Excel.
Working closely with cross-functional business partners, the Data Scientist translates business questions into analytical solutions, delivering actionable insights that support strategic initiatives and operational decision-making. The role is responsible for owning the end-to-end modeling lifecycle, including problem definition, data preparation, model development, validation, performance evaluation, and communication of results to both technical and non-technical audiences.
The ideal candidate combines strong expertise in data science, machine learning, and statistical analysis with practical proficiency in Python, SQL, and Excel. They are intellectually curious, analytical, and comfortable working with complex datasets to uncover meaningful insights. Success in this role requires the ability to quickly develop domain expertise in the housing industry, collaborate effectively with business stakeholders, and translate technical findings into clear, impactful recommendations that drive business value.
Skills & Competencies:
Qualifications:
  • Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field.
  • 3+ years of experience in data science, analytics, or applied quantitative work.
  • Strong problem-solving skills and attention to detail.
  • Strong Python, SQL, and Excel skills, with the ability to handle ad hoc data requests from business partners.
  • Excellent communication, collaboration, and presentation skills with both technical and business audiences.
  • Familiarity with Git, Agile development methodologies, and collaborative software development practices.

Preferred Qualifications:
  • Experience within real estate, private equity, investment management, asset management, or financial services.
  • Experience building and deploying predictive pricing, forecasting, or optimization models in production.
  • Experience utilizing geospatial analytics and external market data sources.
  • Experience with AWS cloud services and modern AI platforms.

Essential Skills:
  • Data Science & Machine Learning: Solid working knowledge of statistical modeling, predictive analytics, regression, and core machine learning methods, with hands-on experience building models.
  • Problem Solving: Ability to take a defined business problem, develop an analytical approach, and translate findings into clear, usable recommendations for business partners.
  • Excel & Ad Hoc Analysis: Advanced Excel skills, including the ability to quickly turn around ad hoc data requests, build clear analyses, and summarize results for business partners such as Asset Management and Operations.
  • Programming: Strong Python and SQL skills for building models and analyzing data, with hands-on experience using common libraries (e.g., pandas, scikit-learn).
  • Artificial Intelligence: Baseline experience working with AI tools, including an understanding of prompts and prompt engineering to improve analytical efficiency.
  • Model Deployment: Exposure to how models are deployed to production and monitored over time, with willingness to develop these skills alongside team members.
  • Collaboration: Ability to work effectively across data science, engineering, and business teams, building strong partnerships and contributing to shared goals.
  • Communication: Ability to clearly communicate complex analytical concepts to technical and non-technical audiences.

Essential Job Functions:
Typical Day Activities:
  • Partner with business teams, including Asset Management and Operations, to handle ad hoc data requests and support day-to-day operational and portfolio questions.
  • Build predictive models in Python to address defined business problems, such as pricing, occupancy, or operational performance, in collaboration with senior team members.
  • Help deploy models into production and monitor their performance, learning production best practices with support from senior team members and Data Engineering.
  • Summarize findings into clear, concise takeaways for business partners.
  • Collaborate with Data Engineering to ensure scalable, reliable, and trusted analytical datasets.

Key Metrics & Responsibilities:
  • Decision Support: Provide timely, accurate analysis and ad hoc data support that helps business partners make better decisions.
  • Model Building: Build and maintain models in Python that reliably address the business problems they are assigned to solve.
  • Quality of Analysis: Deliver accurate, well-organized analyses that business partners can trust and use.
  • Growth & Learning: Steadily expand technical skills and business knowledge, including new tools and modeling techniques and the housing industry, over time.
  • Data Quality & Analytical Standards: Ensure analytical rigor, statistical integrity, reproducibility, and documentation across all models and analyses.

Why work for Maymont Homes?
Our Mission - "We Positively Impact the Lives in the Communities We Serve." Every role contributes to this purpose, helping families find a place to call home while making a difference in the communities we support.
Certified Great Place to Work® - Our people make us who we are. This certification celebrates the values and culture that fuel collaboration, innovation, and care.
Outstanding Benefits - Backed by Brookfield, our benefits include a 5% 401(k) match, wellness credits that reduce healthcare costs, and up to 160 hours of PTO annually for full-time employees.
Career Growth - With continued expansion planned for Maymont, you'll find meaningful opportunities to grow your skills, advance your career, and make an impact.
Strong Foundation - As part of Brookfield Asset Management, one of the world's largest real estate asset managers, we have the stability, resources, and vision to keep growing.
Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. #MYMT

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