Senior Data Scientist (Remote)

Mode of Work: Remote

New York / New Jersey (Local Preferred)

Job Description: Seeking an experienced Senior Data Scientist to support data-driven investment, development, and portfolio optimization initiatives across multifamily and mixed-use real estate portfolios. The ideal candidate should possess strong expertise in predictive analytics, statistical modeling, market intelligence, and data visualization to drive strategic investment decisions and optimize portfolio performance. This role requires analyzing demographic, migration, economic, geospatial, and consumer datasets to identify high-growth markets, understand renter behavior, improve tenant retention, optimize pricing strategies, and support acquisitions and development efforts using data-driven insights and predictive models.

Key Responsibilities:

• Analyze demographic, migration, economic, and market trends to identify high-growth submarkets and investment opportunities
• Develop predictive analytics models supporting investment strategy, acquisitions, and development initiatives
• Model tenant spending behavior, preferences, segmentation, and price sensitivity to improve product positioning and decision-making
• Support portfolio optimization initiatives focused on occupancy, rent growth, retention, and pricing strategies
• Integrate demographic, geospatial, and consumer datasets to generate business intelligence and investment insights
• Develop statistical and predictive models supporting underwriting and investment evaluation processes
• Create visualizations, reports, and dashboards to communicate findings and business recommendations
• Translate complex analytical outputs into clear, actionable business and investment insights for stakeholders
• Collaborate with business leaders, investment teams, and portfolio stakeholders to support strategic planning and performance optimization

Additional Responsibilities:

• Support data-driven decision-making for capital deployment and portfolio growth strategies
• Develop segmentation and pricing models to optimize tenant engagement and operational performance
• Participate in investment planning, forecasting, and business intelligence discussions
• Support continuous improvement of analytical methodologies and data models
• Provide strategic insights supporting portfolio management and development initiatives

Required Skills:

• Strong expertise in predictive analytics, statistical modeling, and data science methodologies
• Strong experience with data visualization and analytical reporting
• Experience integrating demographic, geospatial, and consumer datasets
• Experience developing pricing, segmentation, forecasting, and predictive models
• Strong analytical, problem-solving, and data interpretation skills
• Ability to translate complex analytical findings into business recommendations and investment insights
• Experience supporting investment strategy, portfolio optimization, or underwriting analytics preferred
• Strong stakeholder communication and business collaboration skills

Qualifications:

• Experience supporting real estate, multifamily, mixed-use, investment, or portfolio analytics preferred
• Strong experience developing predictive models for business and investment decision-making preferred
• Ability to communicate technical analysis to business stakeholders required
• Local candidates in NY/NJ preferred