Назад
Company hidden
13 дней назад

Senior Director of Data Science – Data Analytics (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Director of Data Science – Data Analytics (AI): Building and leading an enterprise data science capability that turns forecasting, optimization, experimentation, machine learning, and advanced analytics into measurable business outcomes with an accent on technical strategy, talent development, and production standards. Focus on moving models from research into scalable enterprise workflows, establishing rigorous validation and lifecycle management, and partnering across product, platform, governance, and business functions.

Location: Arlington, Texas, United States

Company

hirify.global is a publicly traded Fortune 500 homebuilder that constructs and sells homes and provides mortgage financing and title services.

What you will do

  • Set the applied data science strategy, standards, talent model, and technical roadmap aligned with business priorities.
  • Lead portfolios of forecasting, optimization, experimentation, machine learning, and advanced analytics products.
  • Ensure analytics initiatives begin with measurable business decisions and outcomes, selecting reliable and appropriately simple approaches.
  • Establish rigor for validation, experimentation, monitoring, explainability, reproducibility, and model lifecycle management.
  • Partner with Product, Forward Deployed Engineering, Platform, Architecture, Governance, and business SMEs to move models from research into production workflows.
  • Identify and pilot data, AI, digital, and software opportunities while representing the function in discovery, architecture, governance, operational-readiness, and improvement activities.

Requirements

  • Advanced degree in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative field, or equivalent experience.
  • 12+ years of data science, machine learning, optimization, advanced analytics, or related experience, including technical leadership.
  • Deep expertise in statistical modeling, machine learning, forecasting, experimentation, optimization, and model evaluation.
  • Strong Python and SQL skills, with experience deploying models into enterprise production environments.
  • Demonstrated ability to connect advanced analytics to measurable business decisions and outcomes.
  • Ability to work independently, take ownership, communicate clearly, deliver results in an evolving environment, and build trusted cross-functional relationships.
  • Ability to supervise two or more employees and travel overnight.

Nice to have

  • Experience in operations research, pricing, demand forecasting, land or real estate, supply chain, construction, or capital allocation.
  • Experience leading LLM, document AI, or computer vision initiatives.
  • 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, complex enterprise.
  • Experience founding, incubating, or building new products, capabilities, or businesses from the ground up.

Culture & Benefits

  • Enterprise role focused on practical innovation, local ownership, business partnerships, and measurable results.
  • Medical, dental, and vision coverage.
  • 401(k), employee stock purchase plan, flex spending accounts, and life and disability insurance.
  • Vacation, sick, personal time, company holidays, and additional voluntary and company-provided benefits.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →