
Senior Director of Data Science – Data Analytics
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Job overview
D.R. Horton is seeking a Senior Director of Data Science to build and lead an enterprise capability that turns advanced analytics, machine learning, and AI into measurable business outcomes. The leader will shape technical direction, develop talent, establish modeling and production practices, and partner across the organization to move high-value ideas into scaled use. The role oversees data science strategy, portfolios, and production practices.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
*D.R. Horton, Inc., the largest homebuilder in the U.S.,*was founded in 1978 and is a publicly traded company on the New York Stock Exchange. It is engaged in the construction and sale of high-quality homes designed principally for the entry-level and first time move-up markets. The Company also provides mortgage financing and title services for homebuyers through its mortgage and title subsidiaries. Please visit our website atwww.drhorton.comfor more information.
As the nation's largest homebuilder by volume, D.R. Horton is transforming how it uses data, AI, and digital solutions for the next generation of homebuilding, and we pair the reach of a national enterprise with a culture built on local ownership, practical innovation, and deep business partnerships. Our teams focus on solutions that work in the field and deliver real results, not technology for its own sake. In this role, you'll have a critical opportunity to shape modern capabilities that will influence how the company operates for years to come.
D.R. Horton, Inc.is currently looking for aSenior Director of Data Science. The Senior Director of Data Science will build and lead an enterprise capability that turns advanced analytics, machine learning, and AI into measurable business outcomes. This leader will shape technical direction, develop talent, establish rigorous modeling and production practices, and create strong partnerships that move high-value ideas from exploration into scaled use. The ideal candidate combines deep data science credibility with enterprise leadership and a builder mentality focused on creating capabilities that endure. Success in this role means an enterprise data science capability with the talent, standards, and partnerships to move high-value models into scaled production use and prove their business impact.
Essential Duties and Responsibilitiesinclude the following. Other duties may be assigned.
- Set applied data science strategy, standards, talent model, and technical roadmap aligned to business priorities
- Lead portfolios of forecasting, optimization, experimentation, machine learning, and advanced analytics products across priority pillars
- Ensure teams begin with decisions and measurable outcomes, not models, and select the simplest approach that can create reliable value
- Establish scientific rigor for validation, experimentation, monitoring, explainability, reproducibility, and model lifecycle management
- Partner with Product, Forward Deployed Engineering (FDE), Platform, Architecture, Governance, and business subject-matter experts (SMEs) to move models from research into production workflows
- Represent the function in cross-functional discovery, architecture, governance, operational-readiness, and continuous-improvement activities as appropriate
- Stay current on relevant data, AI, digital, software, and industry practices and apply new capabilities when they create practical business value
- Identify, shape, and pilot new opportunities where data, AI, and digital capabilities can create business value, operating with an owner's mindset and a bias toward building, testing, and learning quickly
- Conduct all business in a professional and ethical manner
- Ability to travel overnight
Supervisory Responsibilities
- Supervises 2 or more employees
Education and/or Experience
- Advanced degree in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative field, or equivalent experience
- 12 years of data science, machine learning, optimization, advanced analytics, or related experience, including technical leadership
- Deep expertise in statistical modeling, machine learning, forecasting, experimentation, optimization, and model evaluation
- Strong Python and SQL skills and experience deploying models into enterprise production environments
- Demonstrated ability to connect advanced analytics to measurable business decisions and outcomes
- Demonstrated ability to work independently, take ownership, communicate clearly, and deliver results in an evolving environment
- Ability to build trusted relationships across the organization, balancing enterprise standards with business needs and operating realities
Preferred Qualifications
- Experience in operations research, pricing, demand forecasting, land/real estate, supply chain, construction, or capital allocation, and experience leading LLM, document AI, or computer vision initiatives, is especially valuable
- Experience in homebuilding, real estate, construction, mortgage, title, land development, sales, purchasing, finance, customer care, or another distributed operating business is a plus
- Experience working in a large enterprise with complex enterprise environments is preferred
- Experience founding, incubating, or building new products, capabilities, or businesses from the ground up is a plus
Come join a winning team with a Fortune 500 company! We are growing fast and are looking for enthusiastic attitudes and team players to join our success. We offer an excellent benefits package including:
- Medical, Dental and Vision
- 401(K)
- Employee Stock Purchase Plan
- Flex Spending Accounts
- Life & Disability Insurance
- Vacation, Sick, Personal Time and Company Holidays
- Multiple Voluntary and Company provided Benefits
/Build YOUR future with D.R. Horton, America’s Builder.* *#WeBuildPeopleToo/
Job: *Executive
Organization: *Corporate
Title: Senior Director of Data Science – Data Analytics
Location: TX-Arlington
Requisition ID: 2605608
How this job compares
Set against the 1,965 open Data Science jobs on Olive Jobs, counted October 30, 2026.
- Pay
- This postingNot listed
- Texas median$124–259K/yr70 salary ranges
- US median$30–46/hr131 hourly ranges
- Openings
- Olive Jobs lists 104 open Data Science jobs in Texas and 1,965 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in Texas
- JPMorgan Chase14 open
- PwC13 open
- Accenture10 open
- Experience
- This posting asks for at least 12 years of experience — more than three in four Data Science postings that state a minimum ask for (median 6 years, across 1,584 postings).
- Education
- 951 of the 1,965 open Data Science jobs (48%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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