Senior Data Scientist

Corporate

Arlington (TX)

On-site

USD 140,000 - 190,000

Full time

4 days ago

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Benefits offered by this job

Medical, Dental and Vision

Employee Stock Purchase Plan

Flex Spending Accounts

Life & Disability Insurance

Paid time off

Voluntary benefits

Company provided benefits

Job summary

D.R. Horton, Inc. is seeking a Senior Data Scientist to turn complex data into advanced analytics, machine learning, and AI solutions that improve decisions and business performance.

You will lead modeling work from framing to deployment, partnering with business and engineering teams to create production-ready analytics. The role requires strong Python/SQL skills, 5+ years in data science, and the ability to communicate insights to nontechnical stakeholders.

Qualifications

Master's degree in a quantitative field or bachelor's degree with equivalent experience.
5 or more years of data science, machine learning, advanced analytics, statistics, or related experience.
Strong Python and SQL with practical experience in machine learning, forecasting, statistical analysis, or optimization, and 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 and ability to work with nontechnical domain experts.

Responsibilities

Develop, validate, and document predictive, forecasting, optimization, statistical, and machine learning models for assigned priority use cases
Perform exploratory analysis and feature engineering using enterprise data while identifying data quality and measurement limitations
Define evaluation approaches that reflect the actual business decision, operational constraints, and cost of errors
Partner with Forward Deployed Engineers (FDEs) 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 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

Skills

Python

SQL

Machine Learning

Forecasting

Statistical Analysis

Optimization

LLMs

Evaluation Design

Production Analytics

Communication

Education

Master's degree in a quantitative field

Bachelor's degree with equivalent experience

Tools

Snowflake

Azure ML

MLflow

Open-source ML libraries

Geospatial data

Document AI

Job description

Job Description - Senior Data Scientist (2605595)

Job Description

Senior Data Scientist - 2605595

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 Senior Data Scientist. The Senior Data Scientist will help turn complex data into advanced analytics, machine learning, and AI solutions that improve decisions and business performance. This role will independently lead modeling work from problem framing through validation and deployment, partner closely with business and engineering teams, and help establish repeatable practices for production analytics and AI. The ideal candidate combines technical depth, curiosity, and practical business judgment with a focus on measurable outcomes. Success in this role means models delivered end to end that improve a measurable business outcome and are monitored in production.

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

Develop, validate, and document predictive, forecasting, optimization, statistical, and machine learning models for assigned priority use cases
Perform exploratory analysis and feature engineering using enterprise data while identifying data quality and measurement limitations
Define evaluation approaches that reflect the actual business decision, operational constraints, and cost of errors
Partner with Forward Deployed Engineers (FDEs) 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 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

Qualifications

Education and/or Experience

Master's degree in a quantitative field or bachelor's degree with equivalent experience
5 or more years of data science, machine learning, advanced analytics, statistics, or related experience
Strong Python and SQL with practical experience in machine learning, forecasting, statistical analysis, or optimization, and 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 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, balancing enterprise standards with business needs and operating realities

Preferred Qualifications

Experience with Snowflake, Azure ML, MLflow, open-source ML libraries, geospatial data, document AI and unstructured data, or comparable technologies is preferred
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 joina winning team with a Fortune 500 company! We are growing fast and arelooking for enthusiastic attitudes and team players to join our success. We offer an excellent benefits package including: