Senior Applied Scientist, Remote Real Estate AVMs

Kiavi Funding, Inc.; United States; Remoto; USD 175.000 - 225.000; Tempo pieno

Descrizione del lavoro

Kiavi Funding, Inc. seeks a Senior Applied Scientist to join the Property Analytics team to tackle complex ML problems around AVMs, asset valuation, and process optimization.

You will work with engineering, product, and business leaders to deploy production-grade AI systems. The role requires deep ML expertise, statistical modeling, and production-ready architectures, with mentoring responsibilities and collaboration across MLOps, risk, and capital markets to drive strategic initiatives from

Competenze

• Ph.D. or Master’s degree in a quantitative discipline with 5+ years of industry experience building and deploying ML models in production.
• Proven track record of developing statistical and ML models at asset level.
• Strong production-level programming in Python, SQL, and R.
• Demonstrated leadership and cross-functional collaboration.

Mansioni

• Lead end-to-end design, architecture, deployment of AVM systems for lending products.
• Develop ML, DL, and statistical models for asset valuation considering spatial-temporal trends and macro factors.
• Establish robust frameworks for model performance monitoring and retraining.
• Build tools to empower risk, underwriting, and capital markets teams.
• Collaborate with data infrastructure and MLOps to enhance data capabilities and real-time inference.
• Design features from structured and unstructured data, incl. images and text.
• Perform EDA and assess frontier AI capabilities to improve valuation accuracy.
• Refactor and optimize solutions for scalability and efficiency.

Conoscenze

Python

SQL

R

Machine Learning

Deep Learning

Spatial Analytics

Leadership

Communication

Formazione

Ph.D. in quantitative field

Master's in quantitative field

Strumenti

PyTorch

TensorFlow

Spark

Descrizione del lavoro

Kiavi Funding, Inc. seeks a Senior Applied Scientist to join the Property Analytics team to tackle complex ML problems around AVMs, asset valuation, and process optimization.

You will work with engineering, product, and business leaders to deploy production-grade AI systems. The role requires deep ML expertise, statistical modeling, and production-ready architectures, with mentoring responsibilities and collaboration across MLOps, risk, and capital markets to drive strategic initiatives from