Data Scientist (AI)

Location: Arlington, Texas, United States; full-time onsite role with overnight travel required.

Company

hirify.global is a publicly traded Fortune 500 homebuilder providing residential construction, mortgage financing, and title services.

What you will do

• Explore and prepare data, develop features, and build analytical and machine learning models for business use cases.
• Evaluate models with technical and business metrics and document assumptions, limitations, and results.
• Partner with subject-matter experts to understand processes, decisions, constraints, and success measures.
• Collaborate with data engineers and Forward Deployed Engineers to produce analytical logic and models.
• Create visualizations, analyses, and presentations that translate technical findings into business implications.
• Contribute reusable code, features, evaluation methods, documentation, governance, operational-readiness, and continuous-improvement activities.

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, a related quantitative field, or equivalent experience.
• At least 3 years of experience in data science, advanced analytics, machine learning, or a related field.
• Strong Python and SQL skills, with knowledge of statistics, machine learning, forecasting, and model evaluation.
• Working familiarity with LLMs, prompt and context engineering, and unstructured or document data.
• Experience with real-world business data and communicating analytical findings to stakeholders.
• Familiarity with source control, reproducible analysis, and production model practices.
• Ability to work independently, take ownership, communicate clearly, deliver results in an evolving environment, and build trusted relationships across the organization.
• Ability to conduct business professionally and ethically.

Nice to have

• Experience with Snowflake, Azure ML, MLflow, LLM and document AI techniques, or open-source ML libraries.
• Experience in homebuilding, real estate, construction, pricing, demand, supply chain, finance, customer analytics, mortgage, title, land development, sales, purchasing, 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.

Culture & Benefits

• Work in a national enterprise environment focused on practical innovation, local ownership, business partnerships, and measurable impact.
• Medical, dental, and vision coverage; life and disability insurance; flexible spending accounts.
• 401(k), employee stock purchase plan, voluntary and company-provided benefits.
• Vacation, sick, personal time, and company holidays.