Top Real Estate Data Science Jobs

As a Senior Agentic Analytics Engineer, you will build AI systems for proactive analytics, design data models, and influence business decisions through advanced analytics solutions.

The Senior Policy Economist will conduct data-driven regulatory and economic analysis, collaborating with various stakeholders and using advanced data modeling to inform policy decisions.

The Data Scientist will build predictive models, analyze complex datasets, collaborate with engineering teams, and enhance operational efficiency through data science solutions.

As a Staff Data Scientist, you'll develop and deploy machine learning models to enhance renter experiences and optimize property partnerships, collaborating across teams to translate data insights into actionable strategies.

The role involves designing data models, developing ETL pipelines, creating BI solutions, and collaborating with clients to support business analytics initiatives.

The Sr. Data Scientist analyzes complex data to identify trends, builds predictive models, automates processes, and communicates insights effectively.

The Data Scientist will design and implement models for predictive analytics, collaborate with stakeholders, and communicate insights, enhancing decision-making processes within the company.

As an Applied Scientist, you will develop AI and ML systems for real estate workflows, focusing on prediction and decisioning. Your role involves using real-world data, building models, and collaborating with cross-functional teams to improve customer experiences.

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.