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Invitation Homes

Public REIT renting single-family homes

VP – Data Science

Data ScienceConfirmed live in the last 24 hours
Full-timeDallas, TX, USAIn-person

About the Job

Requirements

  • A BA or BS degree with emphasis on a quantitative discipline such as Data Science, Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or Operations Research is required.
  • At least 10 years of experience in data science, machine learning, or applied analytics, including substantial hands-on ownership of model development and production machine learning systems.
  • At least 5 years of experience leading and developing data science or machine learning talent, with demonstrated ability to build and mentor high-performing teams while remaining hands-on.
  • Demonstrated experience building, deploying, and operating machine learning or optimization systems in production, with accountability across the full lifecycle from design through deployment, monitoring, and retraining.
  • Demonstrated success applying predictive, prescriptive, forecasting, optimization, and segmentation methods to complex business problems.
  • Strong hands-on proficiency in SQL and Python.
  • Experience with cloud platforms such as AWS, GCP, or Azure, and modern data technologies such as Snowflake, Spark, or Databricks.
  • Expertise in data visualization tools such as Tableau.
  • Experience accessing APIs and scripting refresh/update and ETL/ELT processes.
  • Demonstrated success using performance-based/ROI analysis to drive resident and business strategy decisions and recommendations.
  • Ability to explain analytical concepts and results to senior business leaders through verbal and written communication.
  • Demonstrated experience analyzing customer behavior and creating customer segmentation.
  • Strong business judgment and ability to shape strategy and lead cross-functional prioritization.
  • Ability to be at work on a regular and consistent basis.

Responsibilities

  • Define and own the strategy and roadmap for data science and machine learning capabilities, aligning technical priorities with valuable business opportunities.
  • Partner with marketing, operations, revenue management, and technology leadership to identify, prioritize, and deliver analytical solutions focused on resident acquisition, engagement, retention, and loyalty; customer experience; pricing; and long-term value.
  • Translate complex business challenges into roadmaps, delivery plans, measurable outcomes, and a backlog that sets expectations for deliverable timing.
  • Represent data science in planning, prioritization, and investment discussions, and communicate findings and recommendations to senior business stakeholders with supporting visualizations.
  • Contribute personally to high-impact model development, experimentation, and validation.
  • Set technical standards and direction for modeling, experimentation, deployment, monitoring, and governance.
  • Lead advanced analytical methods including predictive modeling, forecasting, optimization, segmentation, and machine learning.
  • Assess existing analytical constructs and solutions for opportunities to simplify, optimize, and improve them.
  • Evaluate and responsibly adopt emerging capabilities, including generative AI, where they create measurable business value.
  • Own the analytical and machine learning lifecycle from framing business problems and developing models through production deployment, monitoring, and continuous improvement.
  • Ensure analytical and machine learning systems are reliable, reproducible, and auditable end-to-end decision systems.
  • Guide development of production-grade solutions on modern cloud-based data platforms.
  • Institutionalize data aggregation, organization, and preparation for analysis, and create stable refresh processes that keep findings and insights current.
  • Advance version control, CI/CD, automation, and reusable delivery patterns.
  • Lead, mentor, and grow a team of data scientists and machine learning engineers.
  • Attract, assess, hire, and retain technical talent, and develop team members through coaching and structured development.
  • Establish a culture of accountability, ownership, collaboration, and continuous improvement.
  • Upskill data and analytics expertise across the team and among business partners.
  • Establish standards for reproducibility, data quality, code quality, validation, and production support.
  • Ensure analytical decisions are correct, explainable, and defensible before deployment.
  • Continuously improve the team’s operating model and delivery practices.
  • Work with the business intelligence team to create on-brand visualizations and management tools that improve customer acquisition and experience performance.

Desired Qualifications

  • Experience with R or other programming languages.
  • Experience analyzing marketing channel performance, including digital ads, Google Ads, Facebook, and web analytics.
  • An MS or PhD in a quantitative or applied science.

About the Company

Invitation Homes

Public REIT renting single-family homes

Invitation Homes is a real estate investment trust that owns and manages a large portfolio of single-family rental homes in the United States. It operates a vertically integrated model that covers acquiring, renovating, leasing, and professional property management. Revenue comes from rent paid by individuals and families who want flexible access to quality homes in desirable neighborhoods, with focus on the Western U.S., Florida, and the Southeast. The company differentiates itself through its size after a major merger, build-to-rent programs, and in-house services like ProCare maintenance, 24/7 emergency repairs, and a resident app; its goal is to grow its portfolio and provide steady income for shareholders.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Dallas, TX
Founded
2012

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