Principal Data Scientist

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 at www.drhorton.com for 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 a Principal Data Scientist. The Principal Data Scientist will serve as a senior technical authority for advanced analytics, machine learning, and AI, helping define how these capabilities are applied to complex business problems. This role will lead high-impact modeling work, establish scientific and engineering standards, mentor other practitioners, and help move promising methods from exploration into scalable production solutions. The ideal candidate combines deep technical expertise with business judgment and can shape both individual solutions and the broader capability for the future. Success in this role means high-value decisions run on rigorous, monitored models in production, and the data science practice has standards other practitioners follow.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

• Lead design and development of complex forecasting, optimization, machine learning, causal, and experimentation solutions
• Translate high-value business decisions into rigorous analytical formulations, assumptions, constraints, evaluation methods, and measurable outcomes
• Set modeling standards for validation, reproducibility, explainability, monitoring, bias/risk assessment, and technical documentation
• Work directly with business operators and Forward Deployed Engineers (FDEs) to understand real-world constraints and integrate models into workflows
• Mentor data scientists and review modeling approaches, code, experiments, and production readiness
• Build trusted relationships across the organization, balancing enterprise standards with business needs and operating realities.
• 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