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

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 an Applied Data Scientist, you'll analyze CRE market trends using statistical and machine learning models, optimize data pipelines, and communicate insights effectively.

Lead a data science team to drive revenue growth through data insights, forecasting models, and customer retention strategies, while mentoring talent and advising leadership.

The Senior Data Engineer will design and execute data-driven research, develop machine learning models, and collaborate with stakeholders to provide actionable insights.

Conduct practical quantitative research, uncover user insights using mixed methods, and translate findings into actionable recommendations for product teams.

The Data Scientist will utilize causal inference methods to evaluate marketing initiatives, conduct data analysis, and collaborate with teams to inform marketing strategies.

The role involves creating dashboards and visual frameworks, building data pipelines, performing analyses to uncover insights, and communicating findings to stakeholders.

The Senior Data Analyst will analyze marketing campaigns, build dashboards, optimize reporting frameworks, model demand gen pipelines, and collaborate with cross-functional teams.