Senior Applied Scientist, Property Analytics

Job Summary

To support innovative real estate lending solutions, the remote Senior Applied Scientist, Property Analytics will lead the design and deployment of automated valuation models, collaborate with cross-functional teams, and mentor junior members while applying advanced machine learning techniques.

Key responsibilities

• Lead the design, architecture, development, and deployment of automated valuation modeling systems
• Architect and refine machine learning models for asset valuation, incorporating various market factors
• Establish frameworks for model performance assessment and automated retraining across real estate cycles

Required qualifications

• Ph.D. or Master's degree in a quantitative discipline with 5+ years of industry experience (or 3+ years with a Ph.D.)
• Proven track record of developing statistical and machine learning models in production
• Strong programming skills in Python, SQL, and R
• Experience in technical leadership and mentoring junior team members
• Hands-on experience developing Automated Valuation Models (AVMs) or automated appraisal systems (preferred)