Senior Data Scientist

D.R. Horton•Arlington, TX

About The Position

D.R. Horton is seeking a Senior Data Scientist to turn complex data into advanced analytics, machine learning, and AI solutions that improve decisions and business performance. The role independently leads modeling work from problem framing through validation and deployment, partners closely with business and engineering teams, and helps establish repeatable practices for production analytics and AI. The ideal candidate combines technical depth, curiosity, practical business judgment, and a focus on measurable outcomes. Success means delivering end-to-end models that improve a measurable business outcome and are monitored in production. The position supports the company's use of data, AI, and digital solutions across its homebuilding business. It works with enterprise data and collaborates across business and engineering functions to develop practical solutions suited to operational needs.

Requirements

Master's degree in a quantitative field, or bachelor's degree with equivalent experience.
Five or more years of data science, machine learning, advanced analytics, statistics, or related experience.
Strong Python and SQL skills, with practical experience in machine learning, forecasting, statistical analysis, or optimization.
Working familiarity with LLMs, prompt and context engineering, and evaluation design.
Experience with model validation, experimentation, feature engineering, version control, and production collaboration.
Strong business communication skills and ability to work with nontechnical domain experts.
Demonstrated ability to work independently, take ownership, communicate clearly, and deliver results in an evolving environment.
Ability to build trusted relationships across the organization while balancing enterprise standards with business needs and operating realities.

Nice To Haves

Experience with Snowflake, Azure ML, MLflow, open-source ML libraries, geospatial data, document AI and unstructured data, or comparable technologies.
Experience in homebuilding, real estate, construction, mortgage, title, land development, sales, purchasing, finance, customer care, or another distributed operating business.
Experience working in a large enterprise with complex enterprise environments.
Experience founding, incubating, or building new products, capabilities, or businesses from the ground up.

Responsibilities

Develop, validate, and document predictive, forecasting, optimization, statistical, and machine learning models for priority use cases.
Perform exploratory analysis and feature engineering using enterprise data, identifying data quality and measurement limitations.
Define evaluation approaches that reflect business decisions, operational constraints, and the cost of errors.
Partner with Forward Deployed Engineers and engineers to integrate models into workflows, applications, APIs, and production monitoring.
Communicate findings, uncertainty, assumptions, and recommendations clearly to business partners.
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, applying new capabilities when they create practical business value.
Identify, shape, and pilot opportunities where data, AI, and digital capabilities can create business value, using an owner's mindset and a bias toward building, testing, and learning quickly.
Conduct all business in a professional and ethical manner.
Travel overnight.