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# Director of Data Science

- **Company:** D. R. Horton
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Python (Programming Language), Machine Learning, Standard Sql, Large Language Models, Model Validation, Information Technology, Data Analytics, Machine Learning Operations
- **Published:** October 29, 2026
- **Apply:** https://drhorton.taleo.net/careersection/2/jobdetail.ftl?job=2605608

## About the Role

* 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, * 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

## Description

* 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