Data Scientist

Forestar Group; Arlington (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental and Vision

401(K)

Employee Stock Purchase Plan

Flex Spending Accounts

Life & Disability Insurance

Vacation, Sick, Personal Time and Hols

Job summary

D.R. Horton, Inc. is looking for a Data Scientist who will shape how advanced analytics, machine learning, and AI capabilities address meaningful business problems.

You will explore data, build and validate models, translate findings into practical recommendations, and help move analytical ideas toward production use. The ideal candidate combines strong quantitative skills with business judgment and a desire to create measurable impact.

Qualifications

• Bachelor's or Master's in Data Science or related field or equivalent experience
• 3+ years of data science, advanced analytics, ML, or related experience
• Strong Python and SQL with statistics, ML, forecasting and model evaluation; familiarity with LLMs
• Experience communicating analytical findings to stakeholders
• Familiarity with source control, reproducible analysis, and production model practices
• Ability to work independently, take ownership, and deliver results in a dynamic environment
• Ability to build trusted relationships across the organization

Responsibilities

• Explore data, develop features, and build analytical and machine learning models for business use cases
• Evaluate models using technical and business metrics and document assumptions
• Partner with SMEs to understand processes, decisions, constraints, and success measures
• Collaborate with data engineers and Forward Deployed Engineers to produce analytical logic
• Create visualizations and presentations that translate technical results into business implications
• Contribute reusable code, features, evaluation approaches, and documentation for analytics standards
• Represent the function in cross-functional governance and readiness activities
• Stay current on data, AI, software and industry practices and apply new capabilities for business value
• Identify and pilot opportunities where data and AI create business value
• Conduct all business ethically and professionally
• Ability to travel overnight

Skills

Python

SQL

Statistics

Machine Learning

Forecasting

Model Evaluation

LLMs

Prompt Engineering

Unstructured Data

Education

Bachelor's or Master's in Data Science or related field

Tools

Snowflake

Azure ML

MLflow

LLM techniques

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 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 Data Scientist. The Data Scientist will help shape how D.R. Horton applies advanced analytics, machine learning, and emerging AI capabilities to meaningful business problems. This role will explore data, build and validate models, translate findings into practical recommendations, and help move successful analytical ideas toward production use. The ideal candidate combines strong quantitative skills with curiosity, business judgment, and a desire to create measurable impact rather than models for their own sake. Success in this role means models and analyses that change real decisions, with clear evidence of business impact and a growing library of reusable work.

Essential Duties and Responsibilities

include the following. Other duties may be assigned.

• Explore and prepare data, develop features, and build analytical and machine learning models for business use cases
• Evaluate models using appropriate technical and business metrics and clearly document assumptions and limitations
• Partner with business subject-matter experts (SMEs) to understand processes, decisions, constraints, and success measures
• Collaborate with data engineers and Forward Deployed Engineers (FDEs) to produce analytical logic and models
• Create clear visualizations, analyses, and presentations that translate technical results into business implications
• Contribute reusable code, features, evaluation approaches, and documentation that raise the standard for analytics and AI work across the team
• 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

Education and/or Experience

• Bachelor's or Master's degree in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative field, or equivalent experience
• 3 or more years of data science, advanced analytics, machine learning, or related experience
• Strong Python and SQL skills with knowledge of statistics, machine learning, forecasting, and model evaluation, and working familiarity with LLMs, prompt and context engineering, and unstructured or document data
• Experience working with real-world business data and communicating analytical findings to stakeholders
• Familiarity with source control, reproducible analysis, and production model practices
• 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 with Snowflake, Azure ML, MLflow, LLM and document AI techniques, or open-source ML libraries, and experience with homebuilding, real estate, construction, pricing, demand, supply chain, finance, or customer analytics, is a plus.
• 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