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About the Role
The Vice President, Data Science will lead Invitation Homes’ data science function, owning the strategy, technical direction, and hands-on development of quantitative models and machine learning systems that drive decision-making across marketing, resident acquisition and retention, customer experience, pricing, and portfolio performance. This is a hands-on leadership role split roughly evenly across strategy, team coaching, and model building.
Responsibilities
- Define and own the strategy and roadmap for data science and machine learning capabilities, aligning technical priorities with business opportunities.
- Partner with leadership to identify, prioritize, and deliver analytical solutions focused on resident acquisition, engagement, retention, loyalty, customer experience, pricing, and long-term value.
- Translate complex business challenges into clear roadmaps, delivery plans, and measurable outcomes.
- Represent data science in planning, prioritization, and investment discussions.
- Communicate findings and recommendations clearly to senior business stakeholders with supporting visualizations.
- Dedicate roughly a third of your time to personal technical contribution—model development, experimentation, and validation—on the highest-impact work.
- Set technical standards and direction across modeling, experimentation, deployment, monitoring, and governance for the team.
- Provide leadership in advanced analytical methods including predictive modeling, forecasting, optimization, segmentation, and machine learning.
- Persistently assess the status quo, looking for opportunities to simplify, optimize, and improve existing analytical constructs and solutions.
- Evaluate and responsibly adopt emerging capabilities, including generative AI, where they create measurable business value.
- Own the full 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 designed as reliable, reproducible, and auditable end-to-end decision systems.
- Guide development of production-grade solutions on modern cloud-based data platforms.
- Institutionalize the processes of aggregating, organizing, and preparing data for analysis, and create stable refresh processes.
- Advance modern engineering practices including version control, CI/CD, automation, and reusable delivery patterns.
- Lead, mentor, and grow a small, high-performing team of data scientists and machine learning engineers, dedicating roughly a third of your time to coaching and developing talent.
- Attract, assess, hire, and retain exceptional technical talent, and develop team members through coaching and structured development.
- Establish a culture of accountability, ownership, collaboration, and continuous improvement.
- Help upskill data and analytics expertise across the team and among business partners.
- Establish high 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 closely with the business intelligence team to create on-brand visualizations and management tools.
Requirements
- BA/BS degree with emphasis on a quantitative discipline (e.g., Data Science, Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, Operations Research) required; advanced degree (MS or PhD) in a quantitative or applied science strongly preferred.
- 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.
- 5+ years of experience leading and developing data science or machine learning talent, with a 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.
- Demonstrated success using performance-based / ROI analysis to drive decisions and recommendations for resident and business strategy.
- Excellent verbal and written communication, with a proven ability to explain analytical concepts and results to senior business leaders.
- Demonstrated experience analyzing customer behavior and creating customer segmentation.
- Strong business judgment and the ability to shape strategy and lead cross-functional prioritization.
- Ability to be at work on a regular and consistent basis.
Skills
- SQL
- Python
- R
- Cloud platforms (e.g., AWS, GCP, or Azure)
- Modern data technologies (e.g., Snowflake, Spark, or Databricks)
- Data visualization tools (e.g., Tableau)
- Datorama
- Accessing various APIs
- Scripting refresh/update and ETL/ELT processes
- Analyzing and assessing marketing channel performance—including digital ads, Google Ads, Facebook, and web analytics
Location
- 16 top U.S. markets
Work Type
- Full-time
Experience Level
- 10+ years of experience in data science, machine learning, or applied analytics
- 5+ years of experience leading and developing data science or machine learning talent
Education Level
- BA/BS degree with emphasis on a quantitative discipline
- MS or PhD in a quantitative or applied science strongly preferred
Salary/Compensations
- $177,825.00 - $308,230.00
- Annual discretionary bonus
Benefits
- Competitive pay
- Annual bonus program
- Generous PTO including vacation accrual, sick time, volunteer time, and standard and floating holidays
- 401(k) with company matching contributions
- Casual dress code
- Great work environment
- Team events, celebrations, and a culture that values connection
- Employee Resource Groups: Together with Women, Asian Alliance, Black Collective, Juntos, Gen Next, and Open Invitation
- Career growth paths and learning opportunities
- Health, dental, vision, and life insurance
- Long-term and short-term disability insurance
About the Company
- Invitation Homes owns and operates homes in great neighborhoods across 16 top U.S. markets.
- We continue to innovate with smart home technology, an industry-leading maintenance app, and other lifestyle-enhancing services that make leasing easier than owning.
- Our market teams — Leasing, Property Management, and Rehab, Turns & Maintenance — work together to deliver excellent resident experiences and maintain high-quality homes.
- Every associate plays a meaningful role in that mission.
Equal Opportunity
- Invitation Homes is an equal opportunity employer committed to fostering a diverse, inclusive and innovative environment with the best associates.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status or any other factor protected by applicable federal, state or local law.
- If you have a disability or special need that requires accommodation, please contact us at humanresources@invitationhomes.com.