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D.R. Horton

Builds and sells single-family homes across the US

Principal Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeArlington, TX, USANo salary listed

About the Job

Requirements

  • An advanced degree in a quantitative field or equivalent demonstrated experience.
  • At least 10 years of experience in data science, machine learning, operations research, statistics, or advanced analytics.
  • Expert Python and SQL skills, with deep experience in statistical modeling, machine learning, forecasting, optimization, and experimentation, and working knowledge of large language models, evaluation design, and document AI.
  • Experience deploying and monitoring models in production and working with engineering teams on scalable implementations.
  • Demonstrated technical leadership and ability to explain complex methods to business leaders.
  • 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.
  • Ability to apply common-sense understanding to carry out instructions furnished in written and oral form or via company applications.
  • Ability to sit for the majority of an eight-hour workday; use hands and fingers to handle or feel; reach with hands and arms; talk and hear; and meet close-vision and peripheral-vision requirements.
  • Ability to travel overnight.

Responsibilities

  • Lead the 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 and risk assessment, and technical documentation.
  • Work directly with business operators and Forward Deployed Engineers 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, artificial intelligence, digital, software, and industry practices, and apply new capabilities when they create practical business value.
  • Identify, shape, and pilot new opportunities where data, artificial intelligence, 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.

Desired Qualifications

  • Experience with optimization, simulation, geospatial analytics, pricing, demand forecasting, sequential decision-making, computer vision, or large-language-model-based solutions.
  • 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.

About the Company

D.R. Horton

Builds and sells single-family homes across the US

D.R. Horton builds and sells single-family homes, townhomes and condominiums across the United States, mostly for first-time and move-up buyers. Most revenue comes from selling homes it builds on land it buys or controls through purchase contracts, with local divisions managing land, construction and sales. Its own mortgage lender, DHI Mortgage, and its title agency earn fees by financing and closing many of those purchases. The company also builds single-family and multifamily rental communities and sells them to investors once they are leased, adding a second home-sales channel. It was founded in 1978 in Texas and is headquartered in Arlington, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Arlington, TX
Founded
1978

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