Senior Applied Scientist, Real Estate Analytics & AVMs

Figure; United States; Remote; USD 132,000 - 198,000; Full time

Benefits offered by this job

RSUs

Medical, dental, and vision coverage

Employer 401(k) with matching

Job summary

Figure Technology Solutions, Inc. is seeking a Senior Applied Scientist for Property Analytics to advance AVM systems and asset valuation using ML, DL, and spatial-temporal insights.

You will lead cross-functional collaboration with data, risk, underwriting, and capital markets while guiding production deployments and feature store improvements. Join a team that integrates sophisticated analytics with real estate data, supervising model monitoring, retraining, and scalable infrastructure.

Qualifications

• Ph.D. or Master’s degree in a quantitative discipline with 5+ years of production ML experience.
• Proven track record of deploying ML models at real estate asset level.
• Strong production-level programming in Python, SQL, and R.
• Hands-on experience developing AVMs or automated appraisal systems (preferred).
• Exposure to time-to-event / survival analysis and spatial-temporal forecasting (preferred).
• Experience handling unstructured data (CV/NLP) in real estate (preferred).
• Familiarity with MLOps, cloud platforms (AWS/GCP), and feature stores (preferred).
• Certifications (FRM or CFA) or progress toward them (preferred).

Responsibilities

• Lead end-to-end design, architecture, development, and deployment of AVM systems for novel lending products.
• Architect ML, DL, and statistical models for asset valuation with spatial-temporal and macroeconomic factors.
• Establish quantitative frameworks for model monitoring and automated retraining across real estate cycles.
• Build analytical tools to empower risk, underwriting, and capital markets teams.
• Collaborate with data infra and MLOps to enhance data capabilities and real-time inference.
• Design data attributes and feature representations from structured, unstructured, and multimodal sources.
• Perform exploratory data analysis, assess frontier AI, and recommend improvements to valuation.
• Refactor and optimize analytical components for scalability and reliability.

Skills

Python

SQL

R

Machine learning

Deep learning

Communication

Cross-functional collaboration

Mentoring

Education

Ph.D. or Master’s degree in a quantitative discipline

Tools

Spark

PyTorch

TensorFlow

AWS

GCP

Feature stores

Job description

Figure Technology Solutions, Inc. is seeking a Senior Applied Scientist for Property Analytics to advance AVM systems and asset valuation using ML, DL, and spatial-temporal insights.

You will lead cross-functional collaboration with data, risk, underwriting, and capital markets while guiding production deployments and feature store improvements. Join a team that integrates sophisticated analytics with real estate data, supervising model monitoring, retraining, and scalable infrastructure.