Top Real Estate Data Science Jobs in New York City, NY

The role involves analyzing complex datasets, developing predictive models, and translating business questions into analytical insights to drive strategic decisions at Ventas.

The Data Scientist II estimates, develops, and implements consumer credit models related to mortgage metrics and utilizes statistical methods and machine learning. This role involves cloud computing, data analysis, and communication of findings to nontechnical teams.

As a Staff Data Scientist, you will enhance analytics across Flex by developing frameworks, dashboards, and causal analysis to drive strategic business outcomes.

Design, test, and deploy time‑series and econometric forecasting models; own end‑to‑end model lifecycle (feature engineering, deployment, monitoring); analyze large datasets to surface drivers; translate results into clear insights for leadership; partner cross‑functionally to scale forecasting capabilities and improve shared tools and pipelines.

The Staff Data Scientist will lead forecasting efforts, managing revenue and cancellation modeling, automating systems, and enhancing decision-making insights from complex data.

The VP of Data will lead data strategy and architecture, manage data engineering teams, and drive data-driven decision making across the organization.

The Data Scientist will develop and maintain models for asset valuation and portfolio management, perform statistical analysis, enhance data capabilities, and work with various teams to solve complex business problems in real estate investment lending.