Senior Data Scientist

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 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 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